CN106934049B - News question selection analysis method and device - Google Patents
News question selection analysis method and device Download PDFInfo
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Abstract
The embodiment of the invention discloses a news topic analysis method and a device, wherein the method comprises the following steps: acquiring internet associated data according to news questions input by a user; extracting entity information and/or category label information according to semantic content of the Internet associated data; obtaining news event clues according to the entity information and/or the category label information; extracting feedback data according to semantic content of the internet associated data; obtaining a news event evaluation result according to the feedback data; and determining news topic selection content according to the news event clue and the news event evaluation result. According to the technical scheme, the problem that news events are reported more comprehensively by using big data is solved, news topic selection contents are determined by using the big data and integrating news event development clues and news event evaluation, and news reporting organizations can be assisted to report related news topics more comprehensively.
Description
Technical Field
The embodiment of the invention relates to the technical field of computer network communication, in particular to a news topic selection analysis method and a device.
Background
With the rapid development of news media industry, how to mine and produce news is the key of the news industry in the media competition. At present, the newspaper industry still follows the traditional method for finding the topic and mining the content, the latest digital technology is not completely applied to the work, and the problem of how to integrate news resources and promote the fusion and development of the traditional media and the emerging media by using the latest achievement of big data, cloud computing and natural language processing technology becomes difficult.
In recent years, many news media units at home and abroad make meaningful attempts on application of big data in the news industry, but basically, the data is used as an auxiliary analysis tool to provide data support for news, or classification recommendation and public opinion analysis are performed on the news. At present, the information such as development veins of news events is integrated, and suitable report contents are provided for news reports at different stages, so that the report contents of a news reporting organization for selecting specific news are single and one-sidedly.
Disclosure of Invention
In view of this, embodiments of the present invention provide a news topic selection method and system, so as to implement comprehensive determination of content of news topics by using big data, integrating news event development context and news event evaluation, and assist a news reporting organization to report related news topics more comprehensively.
In a first aspect, an embodiment of the present invention provides a method for analyzing news titles, including:
acquiring internet associated data according to news questions input by a user;
extracting entity information and/or category label information according to semantic content of the Internet associated data;
obtaining news event clues according to the entity information and/or the category label information;
extracting feedback data according to semantic content of the internet associated data;
obtaining a news event evaluation result according to the feedback data;
and determining news topic selection content according to the news event clue and the news event evaluation result.
Further, the acquiring internet related data according to the news topic input by the user includes:
and acquiring Internet associated data according to the news questions input by the user based on a pattern recognition algorithm and a configuration strategy.
Further, the obtaining news event clues according to the entity information and/or the category label information includes:
performing clustering analysis according to the entity information and/or the category label information to obtain a news event model;
and obtaining the news event clue according to the relation between the news event model and the entity.
Further, the obtaining of the news event evaluation result according to the feedback data includes:
and obtaining a news event evaluation result by carrying out index statistics on the feedback data.
Further, after determining the content of the news topic according to the news event cue and the news event evaluation result, the method further includes:
and matching the news topic selection content with news content in the to-be-edited manuscript library, and determining the news topic selection content different from the news content in the to-be-edited manuscript library as the to-be-reported news topic selection content.
Further, after the obtaining internet related data according to the news topic input by the user, the method further includes:
determining hot news events according to the key tags and/or the key words;
determining news topic content according to the news event clue and the news event evaluation result comprises the following steps: and determining the news topic content according to the hot news event, the news event clue and the news event evaluation result.
In a second aspect, an embodiment of the present invention further provides a news topic analysis device, including:
the data acquisition module is used for acquiring Internet associated data according to news questions input by a user;
the information extraction module is used for extracting entity information and/or category label information according to semantic content of the Internet associated data;
a clue acquisition module for acquiring news event clues according to the entity information and/or the category label information;
the feedback extraction module is used for extracting feedback data according to semantic content of the internet related data;
the evaluation acquisition module is used for acquiring a news event evaluation result according to the feedback data;
and the content determining module is used for determining news topic content according to the news event clue and the news event evaluation result.
Further, the data acquisition module is specifically configured to:
and acquiring Internet associated data according to the news questions input by the user based on a pattern recognition algorithm and a configuration strategy.
Further, the thread obtaining module comprises:
the model analysis unit is used for carrying out cluster analysis according to the entity information and/or the category label information to obtain a news event model;
and the clue acquisition unit is used for acquiring the news event clue according to the relation between the news event model and the entity.
Further, the evaluation acquisition module is specifically configured to:
and obtaining a news event evaluation result by carrying out index statistics on the feedback data.
Further, the news topic analysis device further includes:
and the content matching module is used for matching the news topic selection content with the news content in the to-be-edited manuscript library and determining the news topic selection content different from the news content in the to-be-edited manuscript library as the to-be-reported news topic selection content.
Further, the hot spot combination module is used for determining a hot spot news event according to the key tag and/or the key word;
the content determining module is specifically configured to determine the news topic content according to the hot news event, the news event cue, and the news event evaluation result.
The embodiment of the invention provides a news topic analysis method and a device, which are used for acquiring internet associated data according to topics input by a user, extracting entity information and/or category label information according to semantic content of the internet associated data to acquire news event clues, extracting feedback data according to the semantic content of the internet associated data to acquire news event evaluation results, integrating the news event clues and the news event evaluation results and determining news topic content. The problem that the news events are single and unilateral in reporting is solved, the content of news questions is determined by applying big data, integrating news event development clues and news event evaluation, and news reporting organizations can be assisted to report related news questions more comprehensively.
Drawings
Fig. 1 is a schematic flow chart of a news topic analysis method according to an embodiment of the present invention.
Fig. 2 is a schematic flow chart of a news topic analysis method according to a second embodiment of the present invention.
Fig. 3 is a schematic structural diagram of a news topic analysis device according to a third embodiment of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the invention and are not limiting of the invention. It should be further noted that, for the convenience of description, only some of the structures related to the present invention are shown in the drawings, not all of the structures.
Example one
Fig. 1 is a schematic flow chart of a method for analyzing news titles provided in an embodiment of the present invention, and the technical solution of this embodiment may be applied to a scene in which news titles need to be analyzed, and may be executed by a device for analyzing news titles provided in an embodiment of the present invention, and the system may be implemented in a software and/or hardware manner. The method comprises the following steps:
and S110, acquiring Internet related data according to the news questions input by the user.
The user can input news questions to be confirmed of the report content, and the internet associated data is collected according to the news questions input by the user. The internet related data may be internet data related to a news topic input by a user, for example, a certain news topic input by the user, and the internet data related to the news topic input by the user may be collected in as many web pages as possible, such as a portal website, a forum, or a microblog, according to the news topic input by the user, so as to maximally obtain the internet related data for the news topic input by the user.
Optionally, the internet related data may be obtained according to the news topic input by the user based on the pattern recognition algorithm and the configuration policy. The pattern recognition algorithm may extract correlated data from a large amount of internet data, for example, internet data about entertainment or sports may be collected in each web page based on a certain pattern. The acquisition of the internet associated data can be realized by crawling of the crawler, and the configuration strategy can be to configure a crawled website, a template crawled by the crawler, a scheduling strategy of the crawler and the like when the crawler intelligently crawls to obtain the required internet associated data. By adopting the pattern recognition algorithm and the configuration strategy to collect the interconnection associated data, the invalid data irrelevant to the news questions input by the user can be effectively filtered, and the collection efficiency of the interconnection data is improved.
And S120, extracting entity information and/or category label information according to the semantic content of the Internet related data.
The entity information can be obtained by analyzing entity information such as time, people, places, behaviors and the like extracted from the internet related data, and the entity information contained in the acquired internet related data can be obtained by analyzing the specific semantic content of the acquired internet related data. For example, internet-related data is collected from a webpage reporting artificial intelligence news, and entity information such as go players and go can be obtained by analyzing the semantics of the internet-related data. The category label information may be a category label included in the collected internet-related data, for example, the category label information such as spring festival and train ticket may be obtained by collecting the internet-related data in a web page reporting a train ticket selling condition during spring transportation and analyzing semantic content of the internet-related data.
And S130, acquiring news event clues according to the entity information and/or the category label information.
The news event clue can be obtained according to the entity information, the news event clue can also be obtained according to the category label information, and the news event clue can also be obtained according to the entity information and the category label information. Optionally, a news event model may be obtained by performing cluster analysis according to the entity information and/or the category label information. Taking the olympics topic selection as an example, entity information or category label information obtained by analyzing and extracting internet associated data includes a large number of olympics participants, and a news event model such as a report athlete or a news event model of a report referee can be established by performing cluster analysis on all the olympics participants. Meanwhile, the relation between the entities can be analyzed, and news event clues are obtained according to the news event model obtained through clustering analysis and the relation between the entities. Some association may exist between entities obtained according to semantic content of internet associated data, and according to the obtained news event model, a development graph of the news event with time as an axis can be obtained by combining relationships between the entities, such as character relationships or time precedence relationships, for example, for spring shipping questions, a development trend graph of buying tickets, spring shipping capacity and spring shipping return can be formed with time as an axis, and news event clues of the news event model obtained through cluster analysis are also determined.
And S140, extracting feedback data according to the semantic content of the Internet related data.
The feedback data extracted according to the semantic content of the internet related data may be, for example, media acquired in a web page or feedback data such as a user's comment on or forwarding of some news events or web page content.
And S150, acquiring a news event evaluation result according to the feedback data.
Optionally, the news event evaluation result may be obtained by performing index statistics on the feedback data. Specifically, statistics of specific indexes may be performed on feedback data extracted according to semantic content of internet-related data, for example, statistics of indexes such as click rate or transfer amount may be performed on the feedback data to obtain evaluation results of news events such as news exposure evaluation, user emotion value evaluation, user quality evaluation, news influence, and the like. Meanwhile, news event evaluation results acquired from different webpages can be compared to obtain comparison results of news events acquired from different webpages, such as the comprehensiveness of reports or user evaluation values, so that more comprehensive data support can be effectively provided for the determination of the final news topic selection content.
And S160, determining news topic selection content according to the news event clues and the news event evaluation results.
News event clues obtained based on the relevant news event models and entity relation analysis can provide dynamic development trends of news events with time as an axis for the determination of the final news topic content, and meanwhile, comprehensive news report angles and entry points can be provided for the determination of the final news topic content by combining news event evaluation results obtained by carrying out index statistics on click rate or transfer capacity and the like on the obtained feedback data.
For example, by collecting internet-related data related to the spring transportation problem in the internet and analyzing entity information and category label information contained in the internet-related data, the obtained news event clues can be the development trends of buying tickets, spring transportation capacity and spring transportation return on the spring transportation selection topic by taking time as an axis. Meanwhile, the finally determined news question content may be, for example, related news content such as the capacity from buying tickets to spring transportation and the return from spring transportation, which is high in user evaluation and large in transfer amount, is reported in combination with the evaluation results of the obtained user or related media on the problems such as buying tickets related to spring transportation and the like or the transfer amount and the like.
Optionally, the news topic selection content may be matched with the news content in the to-be-edited document library, and the news topic selection content different from the news content in the to-be-edited document library is determined as the to-be-reported news topic selection content. After the news topic selection content is preliminarily confirmed, the confirmed news topic selection content can be matched with the news content in the manuscript library to be edited, and when the confirmed news topic selection content is different from the news content in the manuscript library to be edited, the confirmed news topic selection content can be used as the news topic selection content to be reported. Therefore, the finally determined news topic selection content can be effectively prevented from being overlapped with the news content in the manuscript library to be edited, and the novelty of the determined news topic selection content can be ensured.
According to the embodiment of the invention, the internet associated data is obtained according to the selected questions input by the user, the entity information and/or the category label information are extracted according to the semantic content of the internet associated data to obtain news event clues, meanwhile, the feedback data is extracted according to the semantic content of the internet associated data to obtain news event evaluation results, and the news event clues and the news event evaluation results are integrated to determine the news selected question content. The problem that the news events are single and unilateral in reporting is solved, the content of news questions is determined by applying big data, integrating news event development clues and news event evaluation, and news reporting organizations can be assisted to report related news questions more comprehensively.
Example two
Fig. 2 is a schematic flow chart of a news topic analysis method according to a second embodiment of the present invention, which is based on the foregoing embodiment and adds a step of determining a hot news event according to a key tag and/or a key word.
Correspondingly, the method of the embodiment of the invention comprises the following steps:
and S210, acquiring Internet related data according to the news questions input by the user.
And S220, determining hot news events according to the key tags and/or the key words.
According to the key tags and/or the key words in the collected internet-related data, for example, the occurrence frequency of the key tags and/or the key words in the collected internet-related data can be counted, and the news event associated with the key tag and/or the key word with the higher occurrence frequency can be determined as the hot news event.
And S230, extracting entity information and/or category label information according to the semantic content of the Internet related data.
And S240, acquiring news event clues according to the entity information and/or the category label information.
And S250, extracting feedback data according to the semantic content of the Internet related data.
And S260, acquiring a news event evaluation result according to the feedback data.
S270, determining news topic selection content according to the hot news event, the news event clue and the news event evaluation result.
When the final news topic selection content is confirmed, on the basis of combining the obtained news event clues and news event evaluation results, hot news events determined according to key labels and/or key words can be combined. For example, when the content of the news test question is determined for the spring shipping test question, the student ticket-buying problem during the spring shipping is determined as a hot news event according to the key tag and/or the key word, and the final content of the news test question is determined, not only based on the obtained news event clue and the news event evaluation result, but also comprehensively reported in combination with the student ticket-buying problem during the spring shipping.
According to the embodiment of the invention, after the internet associated data is acquired according to the news titles input by the user, the hot news event is determined according to the key labels and/or the key words, so that when the final news title content is determined, the hot news event determined according to the key labels and/or the key words is combined, the hot report content related to the news titles input by the user and the report content concerned by the user are timely and effectively acquired, when the news title content is finally determined according to the news titles input by the user, the hot news event can be recommended for a news reporting organization, and the news can be more comprehensively reported by combining the hot news event.
EXAMPLE III
Fig. 3 is a schematic structural diagram of a news topic analysis device provided in the third embodiment of the present invention, where the device includes:
the data acquisition module 310 is used for acquiring internet related data according to news questions input by a user;
an information extraction module 320, configured to extract entity information and/or category label information according to semantic content of internet related data;
a thread obtaining module 330, configured to obtain news event threads according to the entity information and/or the category tag information;
a feedback extraction module 340, configured to extract feedback data according to semantic content of the internet related data;
an evaluation acquisition module 350, configured to acquire a news event evaluation result according to the feedback data;
and the content determining module 360 is configured to determine news topic content according to the news event clue and the news event evaluation result.
Optionally, the data obtaining module 310 may be specifically configured to obtain internet-related data according to a news topic input by a user based on a pattern recognition algorithm and a configuration policy.
Optionally, the thread obtaining module 330 may include a model analyzing unit and a thread obtaining unit, where the model analyzing unit may be configured to perform cluster analysis according to the entity information and/or the category label information to obtain a news event model, and the thread obtaining unit may be configured to obtain the news event thread according to a relationship between the news event model and the entity.
Optionally, the evaluation obtaining module 350 may be specifically configured to perform index statistics on the feedback data to obtain a news event evaluation result.
Optionally, the news topic analysis device may further include a content matching module, configured to match the news topic content with the news content in the to-be-edited document library, and determine the news topic content different from the news content in the to-be-edited document library as the to-be-reported news topic content.
Optionally, the news topic analysis device may further include a hot spot combination module, configured to determine a hot news event according to the key tag and/or the key word, and correspondingly, the content determination module may be specifically configured to determine the content of the news topic according to the hot news event, a news event cue, and a news event evaluation result.
According to the embodiment of the invention, the internet associated data is obtained according to the selected questions input by the user, the entity information and/or the category label information are extracted according to the semantic content of the internet associated data to obtain news event clues, meanwhile, the feedback data is extracted according to the semantic content of the internet associated data to obtain news event evaluation results, and the news event clues and the news event evaluation results are integrated to determine the news selected question content. The problem that the news events are single and unilateral in reporting is solved, the content of news questions is determined by applying big data, integrating news event development clues and news event evaluation, and news reporting organizations can be assisted to report related news questions more comprehensively.
It is to be noted that the foregoing is only illustrative of the preferred embodiments of the present invention and the technical principles employed. It will be understood by those skilled in the art that the present invention is not limited to the particular embodiments illustrated herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, although the present invention has been described in greater detail by the above embodiments, the present invention is not limited to the above embodiments, and may include other equivalent embodiments without departing from the spirit of the present invention, and the scope of the present invention is determined by the scope of the appended claims.
Claims (12)
1. A news topic analysis method is characterized by comprising the following steps:
acquiring internet associated data according to news questions input by a user;
extracting entity information and/or category label information according to semantic content of the Internet associated data;
obtaining news event clues according to the entity information and/or the category label information;
extracting feedback data according to semantic content of the internet associated data;
obtaining a news event evaluation result according to the feedback data;
and determining news topic selection contents according to the news event clues and the news event evaluation results, wherein the news topic selection contents are report contents aiming at the news topics.
2. The method of claim 1, wherein the obtaining internet-related data based on the user-entered news question comprises:
and acquiring Internet associated data according to the news questions input by the user based on a pattern recognition algorithm and a configuration strategy.
3. The method of claim 1, wherein the obtaining news event clues according to the entity information and/or the category label information comprises:
performing clustering analysis according to the entity information and/or the category label information to obtain a news event model;
and obtaining the news event clue according to the relation between the news event model and the entity.
4. The method of claim 1, wherein obtaining news event ratings from the feedback data comprises:
and obtaining a news event evaluation result by carrying out index statistics on the feedback data.
5. The method of claim 1, further comprising, after determining news headlines based on the news event cues and the news event evaluation results,:
and matching the news topic selection content with news content in the to-be-edited manuscript library, and determining the news topic selection content different from the news content in the to-be-edited manuscript library as the to-be-reported news topic selection content.
6. The method of claim 1, further comprising, after said obtaining internet-related data based on a user-entered news topic:
determining hot news events according to the key tags and/or the key words;
determining news topic content according to the news event clue and the news event evaluation result comprises the following steps: and determining the news topic content according to the hot news event, the news event clue and the news event evaluation result.
7. A news question analysis apparatus, comprising:
the data acquisition module is used for acquiring Internet associated data according to news questions input by a user;
the information extraction module is used for extracting entity information and/or category label information according to semantic content of the Internet associated data;
a clue acquisition module for acquiring news event clues according to the entity information and/or the category label information;
the feedback extraction module is used for extracting feedback data according to semantic content of the internet related data;
the evaluation acquisition module is used for acquiring a news event evaluation result according to the feedback data;
and the content determining module is used for determining news topic selection content according to the news event clue and the news event evaluation result, wherein the news topic selection content is the report content aiming at the news topic.
8. The apparatus of claim 7, wherein the data acquisition module is specifically configured to:
and acquiring Internet associated data according to the news questions input by the user based on a pattern recognition algorithm and a configuration strategy.
9. The apparatus of claim 7, wherein the thread acquisition module comprises:
the model analysis unit is used for carrying out cluster analysis according to the entity information and/or the category label information to obtain a news event model;
and the clue acquisition unit is used for acquiring the news event clue according to the relation between the news event model and the entity.
10. The apparatus according to claim 7, wherein the evaluation acquisition module is specifically configured to:
and obtaining a news event evaluation result by carrying out index statistics on the feedback data.
11. The apparatus of claim 7, further comprising:
and the content matching module is used for matching the news topic selection content with the news content in the to-be-edited manuscript library and determining the news topic selection content different from the news content in the to-be-edited manuscript library as the to-be-reported news topic selection content.
12. The apparatus of claim 7, further comprising:
the hot spot combination module is used for determining a hot news event according to the key tag and/or the key word;
the content determining module is specifically configured to determine the news topic content according to the hot news event, the news event cue, and the news event evaluation result.
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| CN107749869A (en) * | 2017-09-15 | 2018-03-02 | 合肥英泽信息科技有限公司 | A kind of news website background management system based on Cloud Server |
| CN109032906A (en) * | 2018-07-17 | 2018-12-18 | 郑州升达经贸管理学院 | A kind of appraisal procedure and its assessment device of internet news |
| CN109299277A (en) * | 2018-11-20 | 2019-02-01 | 中山大学 | The analysis of public opinion method, server and computer readable storage medium |
| CN109635089B (en) * | 2018-12-14 | 2023-09-05 | 李华康 | Literature work novelty evaluation system and method based on semantic network |
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