KR102244651B1 - A system for providing recommended keywords for news scrap, a method for pre-configuring and updating keywords used for news scrap using the same, and a method for providing recommended keywords including the same - Google Patents

Abstract

In one aspect, the present invention relates to a recommended keyword providing system for news scrap, which includes: a user dictionary word data processing unit (110) collecting and processing news scrap data scraped by a user to generate and manage a first keyword for the news scrap of the user; and a user dictionary word keyword output unit (120) receiving a first keyword output condition selected by the user and visualizing and outputting the first keyword managed by the user dictionary word data processing unit according to the input first keyword output condition.

Description

A system for providing recommended keywords for news scrap, a method for pre-configuring and updating keywords used for news scrap using the same, and a method for providing recommended keywords including the same}

The present invention relates to a system for providing a recommended keyword, a method for configuring and updating a keyword dictionary, and a method for providing a recommended keyword, and more particularly, a system for providing a recommended keyword for a news scrap, a method for configuring and updating a keyword dictionary used for a news scrap using the same, And it relates to a method for providing a recommended keyword including the same.

As communication technology develops and Internet use becomes more common, various articles and information are often disclosed through Internet sites. Accordingly, users access various Internet sites to share various articles and information, and in some cases, capture or scrap the necessary parts of articles or information to use. For example, if you want to collect information from a field of interest among the vast amount of information provided through the Internet, or if you want to extract only the main articles or information among articles or information that are poured out every day, the article or information You need to capture or scrape them.

Meanwhile, when capturing or scraping information or articles, the user directly searches for the target article or information in advance through a specific keyword, and selects the article or information to be captured or scrapped from among the articles or information exposed in the search result. have.

However, as the amount of articles or information becomes vast, a lot of articles or information are exposed when searching for a specific keyword in the related art, and a lot of time and effort are consumed in deciding which article or information to select or not for the user. There is a problem that the accuracy of selection is deteriorated.

Accordingly, there is an urgent need to develop a method and system for providing articles that are customized and easy to use to be captured or scrapped to users.

Registered Patent Publication No. 10-1773781 (Name of the invention Web-based user-oriented data visualization method and device, registration date August 28, 2017)

Accordingly, an object of the present invention is to provide a system for providing a recommended keyword for a news scrap that is tailored to the user's interests and is convenient to use, a method for configuring and updating a keyword dictionary used for news scrap using the same, and a method for providing a recommended keyword including the same. It is done.

In order to achieve the above object, the present invention relates to a system for providing a recommended keyword for news scrap, in one aspect, by collecting and processing news scrap data scraped by a user to generate a first keyword for the user's news scrap. The user dictionary word data processing unit 110 to be managed and the first keyword output condition selected by the user are received, and the first keyword managed by the user dictionary word data processing unit is called and visualized according to the inputted first keyword output condition. It characterized in that it comprises a user dictionary word keyword output unit 120.

Preferably, the first keyword is associated with the corresponding user information and is stored in the user dictionary data DB as user dictionary keyword data along with information such as the keyword word, collection date, and score according to frequency, and newly collected news scrap data of the user. User dictionary keyword data stored in the user dictionary data DB is created or updated according to the update of.

In addition, preferably, the user dictionary word keyword output unit 120 visualizes and provides the first keyword to the user through a technique for visualizing key words.

Here, the technique of visualizing the key words includes a word cloud method and a method of visually displaying the trend of score data according to the past frequency in a trend line table, and the first keyword through a word cloud method. When a user clicks a word in the word cloud, it is preferable to visually display the trend of score data according to the past frequency of the corresponding data in a trend line table.

Further, preferably, the general-purpose dictionary data processing unit 130 for generating and managing second keywords for news scrap by collecting and processing news data from the news media, and the second keyword output condition selected by the user are input and the inputted It further includes a universal dictionary word keyword output unit 140 for visualizing and visualizing a second keyword managed by the universal dictionary data processing unit according to a second keyword output condition.

Here, preferably, the second keyword is stored in the universal dictionary data DB as universal dictionary keyword data along with information such as keyword words, collection date, and score according to frequency, and according to the update of newly collected news data, the universal dictionary data DB The keyword data stored in the universal dictionary is created or updated.

In another aspect, the present invention relates to a method for configuring and updating a keyword dictionary used for news scrap, and collecting and processing news scrap data scraped by a user to generate and manage a first keyword for the user's news scrap. Including the user dictionary creation and update process using scrap information (S110), the first keyword for the generated user's news scrap is related to the corresponding user information, along with information such as keyword words, collection date, and score according to frequency. Characterized in that it is stored in the user dictionary data DB (114) as user dictionary keyword data.

Preferably, the user dictionary creation and update process (S110) is a scrap data collection process (S111) of collecting news scrap data scraped by a user from the linked news information scrap system 200, and processing the collected scrap data. A scrap data processing process (S112) of generating keywords for news scrap, and a first storage and management process (S113) of storing and managing the generated first keyword in the user dictionary data DB 114 are performed. .

Here, in the news information scrap system 200, the news scrap data and the scrap date information stored by the user selecting and scrapping the paper news or online news are associated with the user's identification information, and the news information scrap system 200 is sent to the news information scrap system 200. It is stored, and in the scrap data collection process (S111), it is preferable that news scrap data and scrap date information stored in the data DB of the news information scrap system are collected or requested and received for each user by using the user's identification information.

In addition, in the scrap data processing process (S112), a process of calling a pre-stored excluded word and a process of removing the excluded word to remove the excluded word from the news title are performed, so that there is no need as a keyword present in the news title of the news strap data. A noun extraction process that removes words other than nouns by extracting only the nouns from the news title from which the nouns have been removed, and the nouns that appear in the news title and the nouns used with the nouns. It is preferable to include a noun word list and a word pair list generation process for generating word pairs of other nouns, and a word and word pair score calculation process for calculating and outputting a score according to a frequency of words or word pairs in the list.

Here, preferably, the first storage and management process (S113) is a process of inquiring whether a word or word pair, which is a first keyword, exists in the user dictionary data DB, and in the case of an existing word or word pair, the storage target first 1 The score of the keyword word or word pair is stored in the user dictionary data DB as the score of the word or word pair by date, and the cumulative score of the word or word that is the existing first keyword is inquired, and the first keyword to be stored is The process of summing the scores of words or word pairs with the cumulative scores of words or word pairs, which are existing first keywords, and storing them in the user dictionary data DB. If the words or word pairs are not present, words that are the first keyword for each date or The score of the word pair is stored in the user dictionary data DB, and a word or a cumulative score of the word as the first keyword to be stored is generated, and the score of the first keyword to be stored or the word pair is generated. It includes the process of storing the accumulated scores of word pairs in the user dictionary data DB.

Furthermore, preferably, it further includes a general-purpose dictionary generation and update process (S120) for generating and managing second keywords for news scrap by collecting and processing news data from news media, 2 The keywords are stored in the universal dictionary data DB 124 as universal dictionary keyword data along with information such as keyword words, collection dates, and scores according to frequency.

Here, the general-purpose dictionary generation and update process (S120) includes a news data collection process (S121) for collecting news data as general-purpose dictionary data, and a news for generating a second keyword for scrapping the news by processing the collected news data. It is preferable that a data processing process (S122) and a second keyword storage and management process (S123) of storing and managing as a second keyword in a general-purpose dictionary data DB (S123) are performed.

In another aspect, the present invention relates to a method of providing a recommended keyword, and includes one of a method of configuring and updating a keyword dictionary used in the news scrap.

Keywords output through a technique for visualizing key words, including a keyword output process (S300) of outputting and displaying keywords in a preset manner according to the user's keyword selection input through the user interface processing unit 150. It characterized in that it provides by visualizing.

According to the present invention as described above, a system for providing a recommended keyword for a news scrap tailored to the user's interest and convenient to use, a keyword dictionary configuration and update method used for a news scrap using the same, and a method for providing a recommended keyword including the same are provided. It has an effect that can be provided.

1 is a diagram illustrating a news scrap environment to which the present invention is applied.
2 is a block diagram of a system 100 for providing a recommended keyword according to an embodiment of the present invention.
3 is a diagram illustrating a detailed configuration of the user dictionary word data processing unit 110 and the user dictionary word keyword output unit 120 according to an embodiment of the present invention.
4 is a view for explaining the detailed configuration of the universal dictionary word data processing unit 130 and the universal dictionary word keyword output unit 140 according to an embodiment of the present invention.
5 is a flowchart illustrating a method of configuring and updating a keyword dictionary used for a news scrap using a system for providing a recommended keyword for a news scrap according to the present invention, and a method of providing a recommended keyword.
6 and 7 are diagrams for explaining a detailed process of a method for configuring and updating a keyword dictionary according to an embodiment of the present invention.
8 is a diagram illustrating a keyword output condition input process (S200) and a keyword output process (S300) according to the present invention.
9 to 12 are exemplary diagrams of a form of a keyword visualized and output according to an embodiment of the present invention.

Hereinafter, specific contents for carrying out the present invention will be described based on examples with reference to the drawings. These embodiments are described in detail sufficient to enable a person skilled in the art to practice the present invention. It should be understood that the various embodiments of the present invention are different from each other, but need not be mutually exclusive. For example, specific shapes, structures, and characteristics described herein may be implemented in other embodiments without departing from the spirit and scope of the present invention in relation to one embodiment. In addition, it should be understood that the location or arrangement of individual components within each disclosed embodiment may be changed without departing from the spirit and scope of the present invention. Accordingly, the detailed description to be described below is not intended to be taken in a limiting sense, and the scope of the present invention, if properly described, is limited only by the appended claims, along with all scopes equivalent to those claimed by the claims. Like reference numerals in the drawings refer to the same or similar functions over several aspects.

Unless otherwise defined, all terms (including technical and scientific terms) used in the present specification may be used with meanings that can be commonly understood by those of ordinary skill in the art to which the present invention belongs. In addition, terms defined in a commonly used dictionary are not interpreted ideally or excessively unless explicitly defined specifically.

Hereinafter, preferred embodiments of the present invention will be described in detail with reference to the accompanying drawings in order to enable those of ordinary skill in the art to easily implement the present invention.

1 is a diagram illustrating a news scrap environment to which the present invention is applied.

The present invention provides a system for providing a recommended keyword for a news scrap, a user dictionary construction method using the news scrap information used therein, and a method for providing a recommended keyword using the same in an online connected environment as shown in FIG. 1.

Referring to FIG. 1, the recommended keyword providing system 100 of the present invention interlocks with a news information scrap system 200 to be described later, and collects news scrap data scraped by a user from the news information scrap system 200. It is characterized in that by processing this, a keyword for the user's news scrap is generated and managed, and the managed keyword is output and provided to the news information scrap system 200 or a user who uses the same. By generating and providing recommended keywords to be used for scrap by the user based on the scrap data of the news scrapped by the user in the past, it is possible to search or recommend customized news that fits the user's interest topic.

In addition, depending on the embodiment, by processing the extracted word when extracting the keyword to generate a word pair and providing it as a keyword, it is possible to provide a recommended keyword more suitable for searching or recommending a topic of interest of a user of a simple word. When providing recommended keywords, by limiting the period of time and by using the score according to the frequency of the keyword words, the range of the offer is limited according to the ranking of the score, and the recommended keywords are output and provided, so that the recommended keywords more match the search or recommendation of the subject of interest of the user. Can provide.

In addition, according to an embodiment, the recommended keyword providing system 100 of the present invention collects news data from the news information medium 300 that provides news information through an online or offline route, and processes it for news scrap. Keywords can be created and managed, outputted, and provided to the news information scraping system 200 or a user who uses them. Through this, it becomes possible to provide recommended keywords to new customers who do not have news scrap data scrapped in the past.

The output of keywords managed by the recommended keyword providing system 100 provides a plurality of keyword output conditions to the user through a user interface (not shown), receives the keyword output conditions selected by the user, and manages according to the input keyword output conditions. The keyword is called and output, and in an embodiment of the present invention, it can be visualized and output in a manner characteristic of the present invention upon output.

The news information medium 300 may be in the form of data or media for providing paper news such as online news and conventional newspapers.

The news information scrap system 200 is a system that allows a user to select and capture or scrape desired information or articles. The news scrap data scraped by the user, including the data DB of the news information scrap system, is associated with the user. It is stored and managed in the form of image data (including text recognized images). The stored and managed news scrap data is collected by the recommended keyword providing system 100 of the present invention in connection with the news information scraping system 200, or in advance in the recommended keyword providing system 100 of the present invention. The user dictionary data DB may be automatically provided in a set manner and stored in the user dictionary word data DB included in the user dictionary data processing unit to be described later, or the user dictionary data DB may be interlocked with the data DB of the news information scrap system.

The user is provided with keywords for news scrap generated and managed by the recommended keyword providing system 100 of the present invention, and when capturing or scraping through the news information scrap system 200, the user searches using the provided keyword and searches the keyword. Among the articles or information exposed as a result, an article or information to be captured or scrapped is selected and captured.

2 is a block diagram of a system 100 for providing a recommended keyword according to an embodiment of the present invention.

Referring to FIG. 2, the recommended keyword providing system 100 of the present embodiment collects and processes news scrap data scraped by a user to generate and manage a first keyword for the user's news scrap. A user dictionary word keyword output that receives the first keyword output condition selected by the processing unit 110 and the user, calls and visualizes the first keyword managed by the user dictionary word data processing unit according to the input first keyword output condition Includes part 120.

The first keyword generated by collecting and processing the user's news scrap data is stored in the user dictionary data DB as user dictionary keyword data along with information such as the keyword word, collection date, and score according to the frequency associated with the user information. The user dictionary keyword data stored in the user dictionary data DB may be generated or updated according to the update of the news scrap data of the corresponding user that is newly collected.

In addition, according to an embodiment, the universal dictionary data processing unit 130 that collects news data from news media and processes it to generate and manage a second keyword for news scrap, and a second keyword output condition selected by the user are input. It may include a universal dictionary word keyword output unit 140 for visualizing and visualizing a second keyword managed by the universal dictionary data processing unit according to the received and inputted second keyword output condition.

The second keyword generated by collecting news data from the news media and processing it is stored in the universal dictionary data DB as universal dictionary keyword data along with information such as keyword words, collection date, and score according to frequency, and newly collected news data. According to the update of the universal dictionary keyword data stored in the universal dictionary data DB may be created or updated.

In addition, it may include a user interface processing unit 150 that provides a plurality of keyword output conditions to a user and receives a user's selection from among the plurality of output keyword output conditions.

3 is a diagram illustrating a detailed configuration of the user dictionary word data processing unit 110 and the user dictionary word keyword output unit 120 according to an embodiment of the present invention.

3, the user dictionary word data processing unit 110 of this embodiment includes a scrap data collection module 111, a scrap data processing module 112, a first storage and management module 113, and a user dictionary data DB ( 114) and may include a user dictionary monitoring module 115.

The scrap data collection module 111 performs a function of collecting news scrap data scraped by a user from the news information scrap system 200. An embodiment of a method for performing the detailed collection function will be described in detail with respect to the scrap data collection process S111 with reference to FIG. 6.

The scrap data processing module 112 performs a function of generating a first keyword for news scrap by processing the collected news scrap data. An embodiment of a method of performing the function of generating the first keyword of the scrap data processing module 112 will be described in detail with reference to FIG. 6 with respect to the scrap data processing process (S112).

The first storage and management module 113 performs a function of storing and managing the generated first keyword in the user dictionary data DB. An embodiment of a method of performing the function of the first storage and management module 113 will be described in detail with respect to the first storage and management process S113 with reference to FIG. 6.

The user dictionary data DB 114 is a database that stores the generated first keyword.

The user dictionary monitoring module 115 detects an abnormality by comparing the last log record of the log file of the user dictionary data DB with the log record of the log file of the monitoring module. Perform the process of notifying the back.

The user dictionary word keyword output unit 120 provides a plurality of output conditions of a first keyword and receives a user's selection from among the plurality of output conditions of the first keyword through the user interface processing unit 150 and receives a first keyword. Is printed and provided to the user.

Depending on the embodiment, the user dictionary word keyword output unit 120 may visualize keywords output through a technique for visualizing key words and provide them to the user. A method of visually displaying the trend of score data according to frequency in a trend line table may be used.

In addition, in this case, the first keyword is output through a word cloud method according to the first output condition, and when a user clicks a word in the word cloud, the trend of score data according to the past frequency of the corresponding data Can be visually displayed as a trend line table.

4 is a view for explaining the detailed configuration of the universal dictionary word data processing unit 130 and the universal dictionary word keyword output unit 140 according to an embodiment of the present invention.

4, the universal dictionary word data processing unit 130 of this embodiment includes a news data collection module 131, a news data processing module 132, a second storage and management module 133, a universal dictionary data DB ( 134), and may include a universal pre-monitoring module 135.

The news data collection module 131 performs a function of collecting news data as general-purpose data, and an embodiment of a method for performing the detailed collection function is related to the news data collection process (S121) with reference to FIG. 7. It will be described in detail.

The news data processing module 132 performs a function of generating a second keyword for a news scrap by processing the collected news data, and an embodiment of a method of performing a function of generating a second keyword is shown in FIG. 7. With reference to the news data processing process (S122) will be described in detail.

The second storage and management module 133 performs a function of storing and managing the generated second keyword in the universal dictionary data DB 134. An embodiment of a method of performing the function of the second storage and management module 133 will be described in detail with respect to the second storage and management process S123 with reference to FIG. 7.

The general-purpose dictionary data DB 134 is a database that stores the generated second keyword.

The general-purpose dictionary monitoring module 135 detects an abnormality by comparing the last log record of the log file of the general-purpose dictionary data DB with the log record of the log file of the monitoring module. Perform the process of notifying the back.

The universal dictionary word keyword output unit 140 of the present embodiment can visualize keywords output through a technique for visualizing key words and provide them to a user, and a word cloud method can be used as a visualization technique. have.

5 is a flowchart illustrating a method of configuring and updating a keyword dictionary used in a news scrap using a system for providing a recommended keyword for a news scrap of the present invention, and a method of providing a recommended keyword, and FIGS. 6 and 7 are an embodiment of the present invention. A diagram for explaining a detailed process of an example keyword dictionary configuration and an update method, FIG. 8 is a diagram for explaining a keyword output condition input process (S200) and a keyword output process (S300) of the present invention, and FIG. 9 is an embodiment of the present invention. It is an exemplary diagram of the form of a keyword visualized and output according to an embodiment.

The recommended keyword providing method of the present invention is performed by the above-described recommended keyword providing system 100, including a user pre-construction method using news scrap information.

Referring to FIG. 5, a method of providing a recommended keyword is performed including a keyword dictionary configuration and update process (S100), a keyword output condition input process (S200), and a keyword output process (S300), and outputs a managed keyword to provide news. It is provided to the information scraping system 200 or a user who uses it (S400).

The keyword dictionary configuration and update process (S100) is a process of creating and managing keywords for a user's news scrap.

The keyword dictionary configuration and update process (S100) of the present invention is a process of creating and updating a user dictionary using news scrap information for generating and managing keywords for the user's news scrap by collecting and processing news scrap data scrapped by the user. It is performed including (S110).

In the present embodiment, the first keyword for the generated user's news scrap is related to the user information, and the user dictionary data DB 114 is used as user dictionary keyword data along with information such as the keyword word, the collection date, and the score according to the frequency. Is saved.

6, the user dictionary creation and update process (S110) of this embodiment is a scrap data collection process (S111) of collecting news scrap data scraped by a user from the linked news information scrap system 200, and the collected Including a scrap data processing process (S112) of processing scrap data to generate keywords for news scrap, and a first storage and management process (S113) of storing and managing the generated keywords in the user dictionary data DB (114). It is performed, and may be performed including a user pre-monitoring process (S114).

The scrap data collection process (S111) is a process of collecting news scrap data scraped by a user from the news information scrap system 200.

In the data DB of the news information scrap system, the news scrap data and the scrap date information saved by the user selecting and scrapping the paper news or online news from the news information scrap system 200 are stored in association with the user's identification information. In the case of paper news, the news scrap data is stored in the form of an image captured by the user or text data that recognizes the text, and in the case of online news, the image captured by the user or text data that recognizes the text or a selective copy of the text It is stored in the form of data.

The scrap data collection process (S111) may be collected by the scrap data collection module 111, or may be received by the process of sending and receiving scrap data by request, and data of the news information scrap system using the user's identification information. News scrap data and scrap date information stored in the DB may be collected or requested for each user and received.

According to an embodiment, a specific period (collection start date and collection end date) may be specified to limit the user's news scrap data within a specified period to be collected or requested and received. If there are multiple users, it can be collected or received in parallel for each user at the same time in a multi-threaded method, and it is possible to collect or request by limiting news scrap data of company users by classifying general users such as company users and individuals or employees. You can receive it.

By constructing and updating the user keyword dictionary using the input data of the news clipping data that the user is interested in, the possibility of providing keywords for words of high interest to the user is increased by providing keywords for the user to use when scraping. It works.

The scrap data processing process (S112) is a process of generating keywords for news scrap by processing the collected news scrap data. In this embodiment, a first keyword is generated through the following detailed processing process.

① When the news scrap data collected or received by the scrap data collection module 111 is an image captured by a user, a process of converting into text data form by performing a character recognition (OCR) process in advance

② Exclusion word removal process

The process of calling the pre-stored excluded word and the process of removing the excluded word from the news title are performed to exclude unnecessary words as existing keywords in the news title.

In the process of calling the excluded words, the excluded words that have been pre-selected and stored as words to be excluded from the news titles in the database are called from the database and output as a list of excluded words.

Excluded word output list Ex) Cartoon, column, cable satellite, iptv comprehensive programming channel, cable satellite highlight, cable satellite tv, touch catch cock, tap tok tap foreign language, schedule, photo ...

In the process of removing excluded words, a list of excluded words is input, and the news title with the excluded words removed from the original news title is output.

Original news title example) [Healthy Family] The sublime meaning of parents of medical personnel in the Korean War military is connected by the US military base.

News title with excluded words removed Example) The sublime meaning of the parents of medical workers in the Korean War, followed by the US military garrison

③ Noun extraction process (process of removing words other than nouns)

This is a process of extracting only nouns by excluding words excluding nouns from the news title from which the excluded words have been removed, and is performed to use only nouns as today's keywords.

A first analysis process for removing words other than nouns using the first Korean morpheme analyzer (Arirang analyzer) and a second method for removing words that are not excluded from the first morpheme analyzer using the second Korean morpheme analyzer (Comoran analyzer). 2 Perform an analysis process to extract only nouns. This is to supplement the insufficient analysis ability of Korean morphemes by excluding words other than nouns that are not excluded from the first Korean morpheme analyzer (Arirang analyzer) through the second Korean morpheme analyzer (Comoran analyzer).

Pronouns, verb adjectives and other pronouns, verb adjectives, modifiers, interjections, independent words, and other related words and symbols are analyzed and removed.

In the first analysis process using the first Korean morpheme analyzer (Arirang Analyzer), the news title from which the excluded words are removed is input, and a list of morphemes in units of nouns among the morphemes is output.

Example of input) The sublime meaning of the parents of the medical personnel of the Korean War soldiers is connected to the US military base.

Example of output) [Korean War, military personnel, medical personnel, parents, sublime, will, US military, garrison]

The second analysis process using the second Korean morpheme analyzer (comoran analyzer) includes a list of morphemes in units of nouns, a list of parts of speech to be removed, i.e. pronouns excluding nouns among body verbs, verbs such as adjectives, modifiers such as adverbs of tube detectives, interjections, etc. A list of independent words, other related words, and symbols are input in the form of a part of speech tag, and a list of nouns that do not belong to the corresponding part of speech tag is displayed.

Input example) [Korean War, military service, medical personnel, parents, sublime, meaning, US military, garrison], ("MM","MAJ","IC","JKS","JKC","JKG","JKO" ,"JKB","JKV","JKQ","JX","JC","NP","MAG","EP","EF","ETM","XPN","XSV"," XSA","XR","SS","SF","SE","SO")

For reference, in this embodiment, a POS tag according to the 21st century Sejong Plan of https://docs.komoran.kr/firststep/postypes.html was used.

Example of output) [Korean War, military personnel, medical personnel, parents, will, US military, garrison]

④ Noun word list and word pair list creation process

The process of creating a noun word list and word pair list is a process of creating a noun list included in the news title and word pairs of other nouns used with the noun. A list (words separated by 0, word pairs separated by 1) is displayed.

Input example) [Korean War, military personnel, medical personnel, parents, will, US military, garrison]

Example of output) {1=[[Korean War veterans, veterans medical personnel, medical personnel parents, parents US soldiers, US military garrison]], 0=[[Korean War, veterans, medical personnel, parents, US soldiers, garrison]]}

Through this, by generating a keyword using a pair of words, it is possible to generate a keyword capable of inferring information that cannot be grasped with only words through the pair of words.

First input example) [Healthy family] The noble meaning of parents of medical personnel during the Korean War

Final output example) {1=[[Korean War veterans, veterans medical personnel, medical personnel parents, parents US soldiers, US military garrison]], 0=[[Korean War, veterans, medical personnel, parents, US soldiers, garrison]]}

⑤ Process of calculating processed word and word pair score

In the process of calculating the processed word and word pair score, a score according to frequency is calculated for a word or word pair in a list. In the present invention, the word score is calculated using a so-called TF-IDF algorithm such as Equation 1 below, Key keywords are extracted through word scores according to the frequency of word pairs or their summation.

[Equation 1]

Word score according to frequency=[(the frequency of occurrence of words in the subject) / (the total number of words in the subject) * log(the total number of subjects / (1+ the frequency of appearance in the entire subject of a specific word))]

This formula 1 is highly frequent, but has the effect of lowering the score of a general word or word pair, and increasing the score of a specific word or word pair. As a return value, {date: {0: [word:score, word: Score...]}, {1: [word pair: score,,,,]}} is displayed.

In the process of calculating the processed word and word pair scores, processed news (word list by date, word pair list) is input, and a word score list (a word score list of words or word pairs in descending order of scores) is output.

Example of input) {2020-06-22={1=[[Anyang City Council General Affairs and Economy Committee, General Affairs and Economy Committee Administrative Welfare Center, Administrative Welfare Center new construction, new construction inspection], [Imsil County Assembly regular meeting, regular meeting 3rd, 3rd plenary session, closing of the plenary session ], [Gyeongnam Camping], ...]}}

Example of output) In the case of word score: [Holding=44.873993339525335, Application=44.873993339525335, Promotion=44.873993339525335,...]

In the case of word pair score: [Winner of the Korean Women's Open = 18.780043559951523, National Title = 18.780043559951523, Inauguration of President = 14.754463323906272, ...]

The first storage and management process (S113) is a process of storing and managing a word or word pair as a first keyword to be stored in the user dictionary data DB as a first keyword. Store and manage as keywords.

① The process of inquiring whether a word or word pair, which is the selected first keyword to be stored, exists in the user dictionary data DB

② In the case of an existing word or word pair, the score of the word or word pair that is the first keyword to be stored is stored in the user dictionary data DB as the score of the word or word pair by date, and the word or word that is the existing first keyword The process of inquiring the cumulative score of, adding the score of the word or word pair, which is the first keyword to be stored, to the cumulative score of the word or word pair, which is the existing first keyword, and storing it in the user dictionary data DB

③ If the word or word pair does not exist, the score of the word or word pair, which is the first keyword by date, is stored in the user dictionary data DB, and the cumulative score of the word or word, which is the first keyword to be stored, is generated, 1 The process of storing the score of the keyword word or word pair in the user dictionary data DB as the cumulative score of the generated first keyword word or word pair

The user dictionary data DB stores the storage date and log records of whether or not the storage operation is terminated as a log file of the user dictionary data DB, and the user dictionary monitoring module 115 of the present invention stores the last user dictionary data DB. When the work is finished, the storage date and the log record of whether or not to be saved can be recorded in the log file of the monitoring module.

The user pre-monitoring process (S114) is a process of finding an abnormality by comparing the last log record of the log file of the user dictionary data DB with the log record of the log file of the monitoring module. Carry out the process.

Referring to FIG. 7, the keyword dictionary configuration and update process (S100) of this embodiment is a general-purpose dictionary generation and management for generating and managing keywords for news scrap by collecting news data from a news medium and processing it according to an embodiment. It may be performed including the update process (S120), and in this embodiment, the second keyword for the generated user's news scrap is general-purpose dictionary keyword data along with information such as a keyword word, a collection date, and a score according to frequency. It is stored in the dictionary data DB (124).

The general-purpose dictionary generation and update process (S120) of this embodiment is performed, including a news data collection process (S121), a news data processing process (S122), and a second keyword storage and management process (S123), referring to FIG. It may be, and may include a general-purpose pre-monitoring process (S124).

The news data collection process (S121) is a process of collecting news data as general-purpose data, and is performed by the news data collection module 131.

The collected news data includes paper news data and online news data. Paper news data is a form of text data by recognizing a news page image provided by a media company, and data including the date, page information, and title text registered in a separate paper news data DB (not shown) (Example of composition: "2020-07-10 13:50:00", page A01, "nostalgic garden where children are happy, happy caring for the villagers") is stored and managed, and the news data DB is printed in the news data collection process (S121). Paper news data including the registered date, page information, and title text is collected from (not shown).

Online news data is news data provided by media companies and news data collected from online news media. In order to collect news data from an online medium, the news data collection module 131 may include an online collector (not shown) in the form of software. It is stored and managed as data including the date, page information, and title text registered in a separate online news data DB (not shown), and the collected online news data is registered in real time in a separate online search engine (not shown) and can be searched. Online news data that is managed as a state and includes the registered date and title text from the online news data DB (not shown), and collected through a search engine based on the date and time collected through a search engine (not shown), or Receive the collected data on request.

Depending on the embodiment, the collection period (collection start date and collection end date) may be specified to collect or request and receive news data within the specified collection period. If no collection period is specified, the collection start date and collection end date are The collection start date and the collection end date are set in a time interval before the preset time based on the execution time (e.g., 10 minute intervals) (e.g., the collection start date is 00 seconds before the execution time, and the collection end date is the execution time. It is set to 59 seconds before 10 minutes), and the latest news data may be collected and performed so as to be similar to the real-time news data update.

As described above, through a configuration in which recent paper news and online news data are collected in real-time or similar to real-time, the conventional word cloud is limited to the function of displaying word scores and results using a specific document group, whereas the present invention is a keyword Since paper news and online news collected in real time are used to continuously update the score according to the frequency of the target word, in the case of the present invention, the score according to the frequency of the target word of the keyword is continuously updated through the news collected in real time. It is possible to do so, and since the score according to the frequency of the word is continuously updated, the degree of the topic of the day, which changes rapidly over time, can be faithfully represented by the change in the score of the word.

In the news data collection process (S121), in the case of the present embodiment, news data is collected through the following detailed process.

① Collection period designation process

In the case of designating the collection period (collection start date and collection end date), the date, hour, and minute can be received as inputs for the collection start date and collection end date. Separation is separated by the symbol #.

Example) 2020-06-30#7#40 2020-06-30#7#50 => From 7:40 on June 30, 2020 to 7:50 on June 30, 2020 (2020-06 -30 07:40:00~ 2020-06-30 07:49:59)

If the collection period (collection start date and collection end date) is not specified, the collection start date and collection end date can be entered in 10-minute intervals in the time zone 20 minutes before the current time of today's date.

Example) When the current time is 2020-06-30 08:00:00 => 2020-06-30 07:40:00 ~ 2020-06-30 07:49:59 The period from 2020-06-30 07:49:59 is regarded as input.

② Collection process of news data

The collection of paper news data is performed through a process of calling a pre-stored paper media list, receiving a selection of paper media, and outputting a selected media list, and collecting the selected media list and paper news data for a set collection period. .

By performing the process of outputting the selected media list, the selected media list is output. Through this, it is possible to collect the news data of the selected media such as major daily newspapers and major local newspapers.

In the process of collecting paper news data, the selected media list and the set collection period are input, and the paper news data within the set collection period of the paper media of the selected media list is output including the title, date, and page information including the news. Is collected. By including the page information including the corresponding news, news data for the news on the first page can be separately managed or used.

News data example): [[Anyang City Council General Affairs and Economy Committee Administrative Welfare Center Construction Inspection, 2020-06-30, p.002], [Imsil County Assembly regular meeting 3rd plenary session closing, 2020-06-30, p. 009], [Gyeongnam Camping in, 2020-06-30, p. 001], ...]

The collection of online news data may be performed through a process of constructing a query for collecting online news data and a process of inputting the constructed query into an online news search engine.

In the process of constructing a query, the input media list, date (the previously set date value), and the maximum number of news returns are entered, and the query requested to the online news search engine server is output. By setting the maximum number of news returns, it is to ensure that none of today's news is omitted when a general-purpose dictionary is constructed with a large number of online news collected a day (average 130,000).

Media list input example)

media_number = "1_2_94_3_667_4_5_6_1599_7_8_10_9_408_ ..." (media numbers are separated by underbar _)

Date input example) Date: (2020-06-30 07:40:00~ 2020-06-30 07:49:59)

Maximum number of news returns ex) Number: 50000

In the process of inputting the query to the online news search engine, the configured query is input and the online news data including the title and date are output.

Example of online news data) [[[Healthy Family] The noble meaning of parents of medical workers in the Korean War War soldiers connected with the US military base, 2020-06-22], [Opportunity to get 20 billion worth of duty-free luxury goods at a discount of up to 60%, 2020-06-22 ], ...]

The news data processing process (S122) is a process of generating a keyword for news scrap by processing the collected news data. In the present embodiment, a word or word pair is generated as a second keyword through the following detailed processing process. .

① The process of removing negative words

The process of calling the pre-stored excluded word and the process of removing the excluded word from the news title are performed to exclude unnecessary words as existing keywords in the news title.

In the process of calling the excluded words, the excluded words that have been pre-selected and stored as words to be excluded from the news titles in the database are called from the database and output as a list of excluded words.

Excluded word output list ex) Cartoon, column, cable satellite, iptv comprehensive programming channel, cable satellite highlight, cable satellite tv, touch catch cock, tap tok tap foreign language, schedule, photo ...

In the process of removing excluded words, a list of excluded words is input, and the news title with the excluded words removed from the original news title is output.

Original news title example) [Healthy Family] The sublime meaning of parents of medical personnel in the Korean War military is connected by the US military base.

News title with excluded words removed Example) The sublime meaning of the parents of medical workers in the Korean War, followed by the US military garrison

② Noun extraction process (process of removing words other than nouns)

This is a process of extracting only nouns by excluding words excluding nouns from the news title from which the excluded words have been removed, and is performed to use only nouns as today's keywords.

A first analysis process for removing words other than nouns using the first Korean morpheme analyzer (Arirang analyzer) and a second method for removing words that are not excluded from the first morpheme analyzer using the second Korean morpheme analyzer (Comoran analyzer). 2 Perform an analysis process to extract only nouns. This is to supplement the insufficient analysis ability of Korean morphemes by excluding words other than nouns that are not excluded from the first Korean morpheme analyzer (Arirang analyzer) through the second Korean morpheme analyzer (Comoran analyzer).

Pronouns, verb adjectives and other pronouns and verb adjectives, modifiers such as adverbs of ceremonial adverbs, independent words such as exclamation, and other related words and symbols are analyzed and removed.

In the first analysis process using the first Korean morpheme analyzer (Arirang Analyzer), the news title from which the excluded words are removed is input, and a list of morphemes in units of nouns among the morphemes is output.

Example of input) The sublime meaning of the parents of the medical personnel of the Korean War soldiers is connected to the US military base.

Example of output) [Korean War, military personnel, medical personnel, parents, sublime, will, US military, garrison]

The second analysis process using the second Korean morpheme analyzer (comoran analyzer) includes a list of morphemes in units of nouns, a list of parts of speech to be removed, i.e. pronouns excluding nouns among body verbs, verbs such as adjectives, modifiers such as adverbs of tube detectives, interjections, etc. A list of independent words, other related words, and symbols are input in the form of a part of speech tag, and a list of nouns that do not belong to the corresponding part of speech tag is displayed.

Input example) [Korean War, military service, medical personnel, parents, sublime, meaning, US military, garrison], ("MM","MAJ","IC","JKS","JKC","JKG","JKO" ,"JKB","JKV","JKQ","JX","JC","NP","MAG","EP","EF","ETM","XPN","XSV"," XSA","XR","SS","SF","SE","SO")

For reference, in this embodiment, a POS tag according to the 21st century Sejong Plan of https://docs.komoran.kr/firststep/postypes.html was used.

Example of output) [Korean War, military personnel, medical personnel, parents, will, US military, garrison]

③ Noun word list and word pair list creation process

The process of creating a noun word list and word pair list is a process of creating a noun list included in the news title and word pairs of other nouns used with the noun. A list (words separated by 0, word pairs separated by 1) is displayed.

Input example) [Korean War, military personnel, medical personnel, parents, will, US military, garrison]

Example of output) {1=[[Korean War veterans, veterans medical personnel, medical personnel parents, parents US soldiers, US military garrison]], 0=[[Korean War, veterans, medical personnel, parents, US soldiers, garrison]]}

Through this, by generating a keyword using a pair of words, it is possible to generate a keyword capable of inferring information that cannot be grasped with only words through the pair of words.

First input example) [Healthy family] The noble meaning of parents of medical personnel during the Korean War

Final output example) {1=[[Korean War veterans, veterans medical personnel, medical personnel parents, parents US soldiers, US military garrison]], 0=[[Korean War, veterans, medical personnel, parents, US soldiers, garrison]]}

④ Process of calculating processed word and word pair score

In the process of calculating the processed word and word pair score, a score according to frequency is calculated for a word or word pair in a list. In the present invention, the word score is calculated using a so-called TF-IDF algorithm such as Equation 1 below, Key keywords are extracted through word scores according to the frequency of word pairs or their summation.

[Equation 1]

Word score according to frequency=[(the frequency of occurrence of words in the subject) / (the total number of words in the subject) * log(the total number of subjects / (1+ the frequency of appearance in the entire subject of a specific word))]

Although this formula 1 is highly frequent, it has the effect of lowering the score of a general word or word pair, and increasing the score of a specific word or word pair. This formula 1 is a return value of {date: {0: [word: Score, word: score...]}, {1: [word pair: score,,,,]}} will be displayed.

In the process of calculating the processed word and word pair scores, processed news (word list by date, word pair list) is input, and a word score list (a word score list of words or word pairs in descending order of scores) is output.

Example of input) {2020-06-22={1=[[Anyang City Council General Affairs and Economy Committee, General Affairs and Economy Committee Administrative Welfare Center, Administrative Welfare Center new construction, new construction inspection], [Imsil County Assembly regular meeting, regular meeting 3rd, 3rd plenary session, closing of the plenary session ], [Gyeongnam Camping], ...]}}

Example of output) In the case of word score: [Holding=44.873993339525335, Application=44.873993339525335, Promotion=44.873993339525335,...]

In the case of word pair score: [Winner of the Korean Women's Open = 18.780043559951523, National Title = 18.780043559951523, Inauguration of President = 14.754463323906272, ...]

The second storage and management process (S123) is a process of storing and managing a word or word pair as a second keyword to be stored in a universal dictionary data DB as a second keyword. Store and manage as keywords.

① Process of inquiring whether a word or word pair, which is the second keyword to be stored, is present in the general-purpose dictionary data DB.

② In the case of an existing word or word pair, the score of the word or word pair, which is the second keyword to be saved, is stored in the universal dictionary data DB as the score of the word or word pair by date, and The process of inquiring the cumulative score, summing the score of the word or word pair, which is the second keyword to be stored, to the cumulative score of the word or word pair, which is the existing second keyword, and storing it in the general-purpose dictionary data DB.

③ If the word or word pair does not exist, the score of the word or word pair, which is the second keyword by date, is stored in the universal dictionary data DB, and the cumulative score of the word or word, which is the second keyword to be stored, is generated, 1 The process of storing the score of the word or word pair as a keyword in the general-purpose dictionary data DB as the cumulative score of the generated second keyword word or word pair

The general-purpose dictionary data DB stores the storage date and log records of whether or not the storage operation is finished as a log file of the general-purpose dictionary data DB, and the general-purpose dictionary monitoring module 125 of the present invention stores the last of the general-purpose dictionary data DB. When the work is finished, the storage date and the log record of whether or not to be saved can be recorded in the log file of the monitoring module.

The general-purpose pre-monitoring process (S124) is a process of finding an abnormality by comparing the last log record of the log file of the general-purpose dictionary data DB with the log file of the monitoring module. Carry out the process.

In the keyword output condition input process (S200), a plurality of keyword output conditions are provided to the user through the user interface processing unit 150, and the user's selection among the plurality of keyword output conditions outputted through the user interface processing unit 150 is selected. This is the process of receiving input.

The plurality of output conditions of the first keyword and the plurality of output conditions of the second keyword may be different from each other, and an independent user interface is provided by the user interface processing unit 150 so that the user's selection can be independently input. have.

The keyword output condition input process (S200) is an input process of providing a plurality of output conditions of a first keyword and receiving a user's selection from among the plurality of first keyword output conditions output through the user interface processing unit 150. It is performed including an output condition input process (S210).

The first keyword output condition may include classification of a period of keyword extraction, and may include selection of word pairs.

Period classification can be divided into period cumulative top keywords, weekly top keywords, monthly top keywords, and quarterly top keywords, and'period cumulative top keywords' is the sum of scores according to frequency during the service use period of the recommended keyword providing system 100 The first keyword in the preset ranking with a large value,'Weekly Top keyword' is the first keyword not included in the period accumulation, and the first keyword in the preset ranking with a large sum of scores according to frequency over the previous 7 days,'Monthly The'Top Keywords' is the first keyword not included in the period accumulation, the first keyword in the preset ranking with a large sum of scores according to the frequency over the previous 30 days, and the'Quarterly Top Keywords' is the first keyword not included in the period accumulation As a result, it may be an output condition for the first keyword in the preset ranking where the sum of the scores according to the frequency for the previous 90 days is large. In the selection of'word pair or not' as an input for'word pair', the output condition of a general word is set as a default, and it can be input as an output condition of a word pair according to the selection of a separate word pair. Depending on the embodiment, the general word selection or the word One of the paired selections may each be input as an output condition.

In the keyword output condition input process (S200), according to an embodiment, a plurality of output conditions of a second keyword are provided, and a user's selection among the plurality of output conditions of the second keyword is inputted through the user interface processing unit 150. The input process may be performed including a second keyword output condition input process (S220).

The output condition of the second keyword may be classified into a main keyword of the day and a main keyword on the first page of the newspaper of the day, and may include selection of a word pair. 'Today's Key Keywords' is the second keyword in the preset ranking with a large sum of scores according to the frequency of online news and paper news on the search day, and'Today's Newspaper Page 1 Key Keywords' is the page news page on the search day. It may be an output condition for the second keyword in the preset ranking where the sum of the scores according to the frequency of is large, and the selection of'word pairing' is an input on whether to output word pair keywords or general word keywords. In the selection of'word pair or not', the output condition of the general word is set as a default, and the output condition of the word pair may be input according to the selection of a separate word pair. One of the choices may be input as an output condition, respectively.

In the keyword output condition input process (S200), whether to start the first keyword output condition input process (S210) so that the user interface processing unit 150 outputs the first keyword from the user dictionary keyword data or the second keyword from the universal dictionary data. An interface for allowing a user to select whether to start the second keyword output condition input process (S220) to be output may be provided to perform including a news analysis type selection process in which the user's selection is input.

Referring to FIG. 8, in the main screen of the system 100 for providing recommended keywords for news scrap of the present invention, the news analysis type selection UI is already displayed and included in the main screen, or news is selected by the user's selection on the main screen. Analysis type selection UI (S00) may be displayed.

In the news analysis type selection UI (S00), as at the top of FIGS. 9 to 12, a first type selection item that initiates the first keyword output condition input process (S210), for example,'premium article analysis' and a second keyword output. A second type selection item for initiating the condition input process (S220), for example,'today's news analysis' is displayed.

The first keyword output condition input process (S210) is a first type selection input process (S211) in which the selection is input when a first type selection item such as'premium article analysis' is selected by the user in the news analysis type selection UI, Including a first output condition input UI output process (S212) of outputting and displaying a first output condition input UI, and'period division', which is a keyword extraction period range through the outputted first output condition input UI, is shown in FIG. 9 and As shown in FIG. 10, the selection UI for'word pairing' is displayed in accumulative, weekly, monthly, quarterly, period setting, etc., and a selection of whether to output word pair keywords or general word keywords is input. A first output condition in which the first output condition selected by the user is inputted when the user selects the first output condition through the first output condition input UI displayed in the form of a single word' or'word pair'. It is performed including the input process (S213).

A first keyword output process (S310) is performed according to the first output condition input in the first output condition input process (S213).

The second keyword output condition input process (S220) is a second type selection input process in which the selection is input when a second type selection item, such as'today's news analysis', is selected by the user in the news analysis type selection UI (S221). , Including a second output condition input UI output process (S222) of outputting and displaying the second output condition input UI, and through the outputted second output condition input UI as in FIGS. 'Keyword' or'Keyword on the front page of the newspaper of the day' is displayed, and the selection UI of'Word Pair' is'Single Word', where you can select whether to output word pair keywords or general word keywords. The second output condition input process in which the second output condition selected by the user is inputted when the user selects the second output condition through the second output condition input UI displayed as in'and'word pair' and then output It is performed including (S223).

A second keyword output process (S320) is performed according to the second output condition input in the second output condition input process (S223).

The keyword output process (S300) is a process of outputting and displaying a keyword in a preset manner according to a user's selection of a keyword output condition input through the user interface processing unit 150.

The keyword output process S300 may visualize and provide keywords that are general words or word pairs output through a technique for visualizing key words, that is, a word cloud method.

The output type of the first keyword may be different from the output type of the second keyword, and the user interface processing unit 150 may visualize and provide the first keyword or the second keyword in various ways, respectively.

In the case of the present embodiment, the keyword output process (S300) includes the output process 310 of the first keyword, and according to the first output condition input in the first output condition input process (S213) as shown in FIG. As shown in a), when the cumulative period ('cumulative') and the general word ('single word') are selected, the first keyword, which is a general word, is output through a word cloud method, and the word of FIG. 9(a) When a word in the cloud (word cloud) is clicked or when a word in the keyword ranking on the right is clicked, the trend of score data according to the past frequency of the corresponding data is visually displayed in a trend line table as in FIG. 9(b), and FIG. 10 As shown in (a), when the cumulative period ('cumulative') and the word pair ('word pair') are selected, the first keyword, which is a word pair, is output through a word cloud method, and the word in FIG. 10(a) When a word pair in a word cloud or a word pair in the keyword ranking on the right is clicked, the trend of the score data of the word pair according to the past frequency of the corresponding data is visually displayed in a trend line table as shown in FIG. 10(b).

In addition, in the case of the present embodiment, the keyword output process (S300) includes the output process 320 of the second keyword, and is shown in accordance with the second output condition input in the second output condition input process (S223) as shown in FIG. As shown in Fig. 11, when today's main keyword and general word ('single word') are selected, a second keyword, which is a general word, is output through a word cloud method. As shown in FIG. 12, today's main keyword and word When a pair ('word pair') is selected, a second keyword, which is a word pair, is output through a word cloud method.

The user is provided with the first keyword and/or the second keyword as a keyword for news scrap generated and managed by the recommended keyword providing system 100 of the present invention and captured or scraped through the news information scrap system 200. Is searched using the provided keyword, and among the articles or information exposed as a result of the keyword search, an article or information that is to be captured or scraped is selected and captured, and the news scrap data scraped by the user is associated with the user and image data ( (Including text recognized images) is stored and managed in the data DB of the news information scrap system. The stored and managed news scrap data is collected by the recommended keyword providing system 100 of the present invention interlocking with the scrap system 300, or a method preset in the recommended keyword providing system 100 of the present invention. The user dictionary data DB is automatically provided and stored in the user dictionary word data DB included in the user dictionary data processing unit, or the user dictionary data DB is linked to the data DB of the scrap system and used to perform the above-described keyword dictionary configuration and update process (S100). do.

The present invention has been described above with the purpose of method steps representing the performance of specific functions and their relationships. The boundaries and order of these functional components and method steps have been arbitrarily defined herein for convenience of description. Alternative boundaries and orders may be defined as long as the specific functions and relationships are properly performed. Therefore, any such alternative boundaries and sequences are within the scope and spirit of the claimed invention. In addition, the boundaries of these functional components have been arbitrarily defined for convenience of description. Alternative boundaries can be defined as long as certain important functions are performed properly. Likewise, flowchart blocks may also have been arbitrarily defined herein to indicate any significant functionality. For extended use, the flow diagram block boundaries and order may have been defined and still perform some important function. Therefore, alternative definitions of both functional elements and flowchart blocks and sequences are within the scope and spirit of the claimed invention.

In addition, the present invention may have been described at least partially in terms of one or more embodiments. Embodiments of the invention are used herein to represent the invention, its aspects, its features, its concepts, and/or examples thereof. A physical embodiment of an apparatus, article of manufacture, machine, and/or process embodying the present invention refers to one or more aspects, features, concepts, examples, etc. described with reference to one or more embodiments described herein. Can include. Moreover, in the entire drawing, embodiments may incorporate the same or similarly named functions, steps, modules, etc., which may use the same or different reference numbers, and as such, the functions, Steps, modules, etc. may be the same or similar functions, steps, modules, etc. or others.

As described above, in the present invention, specific matters such as specific components, etc., and limited embodiments and drawings have been described, but these are provided only to help a more general understanding of the present invention, and the present invention is not limited to the above embodiments. , If a person of ordinary skill in the field to which the present invention belongs, various modifications and variations are possible from these descriptions.

Therefore, the spirit of the present invention is limited to the described embodiments and should not be defined, and all things that are equivalent or equivalent to the claims as well as the claims to be described later fall within the scope of the inventive concept. .

100: recommended keyword providing system, 110: user dictionary word data processing unit
120: user dictionary word keyword output unit, 130: general-purpose dictionary data processing unit
140: universal dictionary word keyword output unit, 150: user interface processing unit
200: news information scrap system, 300: news information medium

Claims (15)

delete delete delete delete delete delete In the keyword dictionary composition and update method used for news scrap,
Including a user dictionary generation and update process (S110) using news scrap information for collecting and processing news scrap data scraped by a user to generate and manage a first keyword for the user's news scrap,
The first keyword for the generated user's news scrap is stored in the user dictionary data DB 114 as user dictionary keyword data along with information on the keyword word, the collection date, and the score according to the frequency in association with the corresponding user information,
User dictionary creation and update process (S110),
Scrap data collection process (S111) of collecting news scrap data scraped by a user from the linked news information scrap system 200,
A scrap data processing process (S112) of processing the collected scrap data to generate keywords for news scrap, and
It is performed including a first storage and management process (S113) of storing and managing the generated first keyword in the user dictionary data DB 114,
The scrap data processing process (S112),
A process of removing a word that is not necessary as a keyword present in the news title of the news scrap data by performing a process of calling a pre-stored excluded word and a process of removing the excluded word from the news title,
Noun extraction process in which words other than nouns are removed by extracting only nouns by excluding words excluding nouns from the news title from which the excluded words are removed
A noun word list and word pair list generation process for generating a list of nouns appearing in the news title and word pairs of other nouns used with the noun, and
A method of configuring and updating a keyword dictionary used in news scrap, comprising a process of calculating and outputting a score according to a frequency of words or word pairs in a list. delete The method of claim 7,
In the news information scrap system 200, the news scrap data and the scrap date information stored by the user selecting and scrapping paper news or online news are stored in the news information scrap system 200 in association with the user's identification information. And
In the scrap data collection process (S111), news scrap data and scrap date information stored in the data DB of the news information scrap system using the user's identification information are collected or requested and received for each user. How to configure and update the keyword dictionary used. delete The method of claim 7,
The first storage and management process (S113),
The process of inquiring whether a word or word pair, which is a first keyword, exists in the user dictionary data DB,
In the case of an existing word or word pair, the score of the word or word pair that is the first keyword to be stored is stored in the user dictionary data DB as the score of the word or word pair by date, and The process of inquiring the cumulative score, summing the score of the word or word pair, which is the first keyword to be stored, to the cumulative score of the word or word pair, which is the existing first keyword, and storing it in the user dictionary data DB,
If the word or word pair does not exist, the score of the word or word pair that is the first keyword for each date is stored in the user dictionary data DB, and a cumulative score of the word or word that is the first keyword to be stored is generated, and the storage target first A method of configuring and updating a keyword dictionary used for news scrap, comprising the step of storing the score of a word or word pair as a keyword as a cumulative score of a word or word pair as a generated first keyword in a user dictionary data DB. The method of claim 7,
Including a general-purpose dictionary generation and update process (S120) of collecting and processing news data from news media to generate and manage second keywords for news scrap,
The second keyword for the generated user's news scrap is used for news scrap, characterized in that it is stored in the universal dictionary data DB 124 as universal dictionary keyword data along with information such as keyword words, collection date, and score according to frequency. How to configure and update your keyword dictionary. The method of claim 12,
The general-purpose dictionary generation and update process (S120),
News data collection process (S121) of collecting news data as general-purpose data
News data processing process of generating a second keyword for news scrap by processing the collected news data (S122)
A method of configuring and updating a keyword dictionary used for news scrap, comprising a second keyword storage and management process (S123) that stores and manages a second keyword as a second keyword in a general-purpose dictionary data DB. In the method of providing recommended keywords,
A method of providing a recommended keyword, including a method of configuring and updating a keyword dictionary used in the news scrap of any one of claims 7, 9 and 11 to 13. The method of claim 14,
Including the keyword output process (S300) in which keywords are output and displayed in a preset manner according to the user's keyword selection input through the user interface processing unit 150, the keywords output through a technique for visualizing key words are visualized. A method of providing recommended keywords including a method of configuring and updating a keyword dictionary used in news scrap, characterized in that providing.

Images