KR20160034471A - Method For Retrieving Regional Real-time Hot Issue Using SNS and SMS And System Thereof - Google Patents

Abstract

The present invention relates to a real-time local issue extracting method using a text message and a social network service and a system thereof. More specifically, a key word extracting method in an issue system comprises (a) a step of collecting keyword data transmitted from a user terminal belongs to an area where a base station controls over by using a social network service and a short message service by a predetermined time interval; (b) a step of removing keywords routinely searched in the area by analyzing the collected keyword data; (c) a step of determining a grade in most frequent order by calculating the extraction number of the keyword data left in the step (b); (d) a step of applying high grade keywords among the keyword data with the determined grade to the issue in the area for a specific time. The present invention removes the routine keywords among the keywords collected by area, calculates the extraction number of the rest of the keywords, and applies the high grade keywords to the issue data in the area so as to improve the accuracy and reliability of the issue suggested to a user in the area.

Description

TECHNICAL FIELD [0001] The present invention relates to a method and system for real-time hot issue extraction using a text message and a social network service,

Field of the Invention The present invention relates to an Internet search service, and more particularly, to a method and system for real-time hot issue extraction using a text message and a social network service.

With the development of information and communication technology, it is possible to access the Internet anytime and anywhere. Based on this, it is possible to search for information without using time and space, and to use the contents and services desired by the user.

In portal sites such as Naver, Google, and Daum, users can search for desired information from the Internet in a wired or wireless environment. After analyzing the search terms entered by users in the database, In addition, more reliable search terms can be recommended by using functions such as extracting popular search terms, ranking search terms, and correcting typos.

On the other hand, many technologies for extracting and recommending popular keywords in the wired and wireless Internet environment have been proposed. For example, Korean Patent No. 1132450 (registered on March 24, 2012, entitled "Real-time Rising Keyword Extraction Method and Real- (Hereinafter referred to as " first reference invention ") and Korean Patent No. 0895492 (registered on Apr. 22, 2009, entitled " Query word recommendation system and method using mobile communication terminal, Recording medium, hereinafter referred to as " second cited invention ").

Generally, in the Internet search, it is not possible to judge a keyword that shows a sudden increase in the number of searches every day in the same time period as a so-called fast-rising keyword. Therefore, a new technique that can detect the rising keyword by reflecting the keyword input tendency at the current point in real time by generating the reference data considering the real-time situation and the time factor and changing the rising decision logic according to the change of the reference data is required .

The first cited invention is proposed in order to satisfy the above requirement. It generates time series data for a keyword in consideration of the current input tendency of the keyword in terms of time, and generates time series data for each keyword by using the generated time series data, It is a technology that predicts the number of searches in real time and detects rising keywords reflecting changes in the number of searches.

Also, in general, when a user searches for a search word using a mobile communication terminal, the current position of the user is closely related. For example, when a user is in Myung-dong, he / she wants to check restaurants in Myung-dong using a mobile phone. Therefore, there is a problem in that it is not possible to recommend a correct search word because the user's location is not considered.

In order to solve the above problems, the second cited invention is proposed to recommend a search word in consideration of the location of a user. When a user inputs a search word to the mobile communication terminal and searches for a specific object or a specific place, A technique for improving the accuracy of the recommendation word by allowing the automatic completion function to consider the position information of the mobile communication terminal and the character unit information of the input word by realizing quick search by recommending the related search word, to be.

However, the first cited invention is to predict the number of searches at a future time point of a keyword in the Internet environment to detect a rising keyword at the current time point, and the second cited invention extracts an input keyword, As a recommendation, there is a disadvantage in that it can not reflect real-time interests of users who are issues by region.

The present invention relates to a method and system for extracting real time hot issues according to a region using a text message and a social network service developed to improve the above disadvantages. It is an object of the present invention to determine the ranking of keywords in real time and to reflect them in the hot issue information.

It is another object of the present invention to provide location information corresponding to a location of a user by extracting keywords from SMS or SNS.

It is another object of the present invention to determine the ranking of keywords excluding the keywords that are commonly used among the keywords extracted from the SMS or the SNS, and to reflect them in the regional hot information.

In order to achieve the above object, the present invention provides a method for extracting keywords in a hot issue system, the method comprising the steps of: (a) receiving keyword data transmitted by SNS or SMS from a user terminal belonging to an area covered by a base station, Collecting; (b) analyzing the collected keyword data to remove keywords that are routinely searched in the area; (c) calculating the number of times of extraction of the remaining keyword data in the step (b) and determining the rating according to the most frequently occurring order; And (d) reflecting the high-rank keywords among the keyword data classified in the step (c) as a hot topic in the corresponding area for a specific time.

The keyword data is collected from one or more neighboring base stations and defined as a keyword of a specific area.

And extracting and presenting the hot data for the corresponding area based on the location information of the user terminal.

The user terminal may be a mobile terminal or a desktop computer.

According to another aspect of the present invention, there is provided a trend system using a text message and a social network service, comprising: a keyword collecting unit for collecting keyword data at predetermined time intervals using a region covered by at least one base station as a specific region; A morphological analysis unit for dividing the keyword data collected by each region into morpheme units; A semantic analysis unit for recognizing the meaning of the keyword of the morpheme unit separated from the above; A keyword comparison unit which removes a daily keyword among the meaningful keywords; A keyword classifier for calculating the frequency of use of the remaining keywords to determine a class; And a hot issue reflector for reflecting the high-ranked keywords in the hot issue to reflect the grade determined in the above.

In analyzing keyword data sent to and received by a regional base station in real time, keyword data collected through SNS or SMS is collected to remove ordinary daily keywords, and the number of times of extraction of the remaining keywords is calculated, It is possible to improve the accuracy and reliability of the hot issue in the area to be presented to the user by reflecting it as the hot issue data.

1 is a configuration diagram of a hot issue extraction system according to an embodiment of the present invention;
FIG. 2 is a flow chart of the operation of the hot issue extraction process in the embodiment of the present invention. FIG.

Hereinafter, the present invention will be described in detail with reference to the drawings.

In the following description, well-known functions or constructions are not described in detail since they would obscure the invention in unnecessary detail. Although the embodiments of the present invention can be classified into several types according to a specific configuration, in the description of each embodiment, common parts are denoted by the same reference numerals for convenience of description, And avoid unnecessary duplication of explanations by emphasizing the difference between them.

The real-time hot issue extraction system according to the embodiment of the present invention is for analyzing keyword data transmitted and received by each regional base station in real time. The system extracts keyword data through SMS or SNS sent to the base station within the scope of the base station And reflects it on the hot issue data.

FIG. 1 is a block diagram of a hot issue extraction system according to an embodiment of the present invention. As shown in FIG. 1, the system includes a user terminal 110, a base station 120, and a real time hot issue system 140.

The user terminal 110 can use a text message service (SMS) and a social network service (SNS), and can be configured as a mobile terminal or a desktop computer.

The base station 120 communicates with user terminals 110 of a specific area 130 through transmission and reception, and each base station is assigned a unique identification number.

The real-time hot issue system 140 is a device for analyzing keyword data collected by the base station 120 and detecting real-time hot issues according to regions.

Although not shown in FIG. 1, reference numeral 130 denotes a range of an area covered by the base station 120, which is shown as an area covered by one base station in FIG. 1, Of the base station.

The operation and operation of the embodiment of the present invention will be described in detail as follows.

First, the base station 120, which is in charge of the specific area 130, receives keyword data transmitted from the user terminal 110 via SMS or SNS of the corresponding area, and the received data is classified and collected according to specific time intervals.

The base station 120 then transmits the received keyword data to the real time hot issue system 140 at specific time intervals.

Accordingly, the real time hot issue system 140 analyzes the collected keyword data for each region, extracts the hot data for each region, and transmits the extracted hot data to the user terminal 110 It will be reflected when searching the Internet or extracting a search term.

The real-time hot issue system 140 may include a keyword collecting unit, a morpheme analyzing unit, a semantic analyzing unit, a keyword comparing unit, a keyword classifying unit, and a hot issue reflecting unit. The following is an explanation.

First, the keyword collecting unit proceeds to step S210 of collecting keyword data from the base station 120 at specific time intervals. At this time, the collected keyword data is classified by each region and stored.

Next, the keyword data collected for each region is analyzed and the routine proceeds to a step S220 of removing the daily keywords that are normally found in the corresponding region. In order to understand the meaning of the keyword, the morpheme analyzing unit analyzes the keyword data by morpheme, separates the keyword data into the words, and separates the separated words into the words, the verbs, the verbs, and the mother. Then, the semantic analyzer extracts the semantics, which is a semantic unit, from the separated words. Then, the keyword comparison unit compares the keywords whose meanings are understood by the semantic analysis unit with the previously registered daily keywords to remove the daily keyword data.

Thereafter, step S230 of classifying the keyword data in the most frequently used order through the calculation of the number of times of extracting the remaining keyword data and the frequency of use of the remaining keyword data is performed through the class designation unit.

Finally, step S240 of reflecting the high-rank keywords among the keyword data as the hot topic of the corresponding area for the specific time period according to the ranking order is performed in the hot spot reflector, thereby showing the result of extracting the real-time hot issue system by region. Therefore, it is possible to improve the accuracy and reliability of the hot issues in the area by reflecting the extraction frequency of the keyword data except for the daily keyword data among the extracted keyword data as the hot data of the corresponding area.

While the present invention has been particularly shown and described with reference to exemplary embodiments thereof, it is to be understood that the invention is not limited to the disclosed exemplary embodiments. It will be possible. That is, the present invention is not limited to the above-described embodiments, and various changes and modifications may be made without departing from the scope of the present invention as defined in the appended claims. .

110: user terminal 120: base station
140: Real-time hot issue system

Claims (3)

Collecting keyword data transmitted from the base station at predetermined time intervals using SNS or SMS;
Analyzing the collected keyword data to remove keywords that are routinely searched in the corresponding region;
Calculating the number of times of extraction of the remaining keyword data that has been removed in the above step and determining the rating according to the most frequently occurring order; And
And reflecting the high-ranking keywords among the keyword data classified in the above step as a hot issue in the corresponding area for a specific time, and a method for extracting real-time hot issues according to a region using a text message and a social network service.
The method as claimed in claim 1, further comprising the step of collecting the jurisdictions of one or more adjacent base stations into a specific area, and collecting data collected from the one or more base stations into keyword data of a specific area Real-time hot issue extraction method using social network service.
A keyword collecting unit for collecting keyword data at predetermined time intervals with a region covered by at least one base station as a specific region;
A morphological analysis unit for dividing the keyword data collected by each region into morpheme units;
A semantic analysis unit for recognizing the meaning of the keyword of the morpheme unit separated from the above;
A keyword comparison unit which removes a daily keyword among the meaningful keywords;
A keyword classifier for calculating the frequency of use of the remaining keywords to determine a class; And
A real time hot issue extraction system using a text message and a social network service including a hot issue reflector for reflecting keywords of a high grade in a hot issue in accordance with the rating set forth above.

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