CN107943905A - A kind of much-talked-about topic analysis method and system - Google Patents
A kind of much-talked-about topic analysis method and system Download PDFInfo
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Abstract
Description
Claims (9)
- A kind of 1. much-talked-about topic analysis method, it is characterised in that including:According to acquisition strategies, collection and the relevant article data of much-talked-about topic;Rule is determined according to default, from the article data, determines the source article, propagation path, biography of the much-talked-about topic Broadcast scope and development trend.
- 2. according to the method described in claim 1, it is characterized in that, the basis, which is preset, determines rule, from the article data In, determining the source article of the much-talked-about topic includes:The article data is ranked up according to issuing time;From the article data after sequence, the earliest corresponding article of article data of issuing time is chosen as the hot spot The source article of topic.
- 3. according to the method described in claim 1, it is characterized in that, the basis, which is preset, determines rule, from the article data In, determining the propagation path of the much-talked-about topic includes:Obtain the keyword of input;According to the keyword, from the article data, determine and the relevant article data of the keyword;Will be with the relevant article data of the keyword, according to issuing time, the first order for being organized into the much-talked-about topic is propagated Path;From the article data of the first order propagation path, the phrase for meeting default selection condition is chosen as new key Word;The new keyword is recommended into user, so that user determines the much-talked-about topic by the new keyword Second level propagation path;The operation that the new keyword recommended according to upper level propagation path determines next stage propagation path is repeated, is obtained The multistage propagation path of the much-talked-about topic.
- 4. according to the method described in claim 1, it is characterized in that, the basis, which is preset, determines rule, from the article data In, determining the spread scope of the much-talked-about topic includes:The identical article data in source is clustered, and counts the quantity of article data in each source respectively;If the quantity meets default quantity term, the corresponding radiation scope in the source is determined as the much-talked-about topic Spread scope.
- 5. according to the method described in claim 1, it is characterized in that, the basis, which is preset, determines rule, from the article data In, determining the development trend of the much-talked-about topic includes:Statistics incremental difference of the article data under different media types, and be depicted as curve daily;According to the slope of a curve and default medium type weight coefficient, the development trend of the much-talked-about topic is determined.
- 6. according to the method described in claim 1, rule is determined it is characterized in that, being preset in the basis, from the article number In, after the source article, propagation path, spread scope and the development trend that determine the much-talked-about topic, further include:According to Generalization bounds, article to be recommended is determined from the article data, and recommend user.
- A kind of 7. much-talked-about topic analysis system, it is characterised in that including:Data acquisition module, for according to acquisition strategies, collection and the relevant article data of much-talked-about topic;Analysis of central issue module, for determining rule according to default, from the article data, determines the source of the much-talked-about topic Article, propagation path, spread scope and development trend.
- 8. system according to claim 7, it is characterised in that the analysis of central issue module include Source Tracing submodule, Path analysis submodule, surface analysis submodule and trend analysis submodule, wherein:The Source Tracing submodule includes:Data sorting unit, for the article data to be ranked up according to issuing time;Trace to the source determination unit, corresponded to for from the article data after sequence, choosing the earliest article data of issuing time Source article of the article as the much-talked-about topic;The path analysis submodule includes:Keyword acquiring unit, for obtaining the keyword of input;Related data determination unit, for according to the keyword, from the article data, determining related to the keyword Article data;First path determination unit, for, according to issuing time, will be organized into described with the relevant article data of the keyword The first order propagation path of much-talked-about topic;New keywords choose unit, meet default selection bar for from the article data of the first order propagation path, choosing The phrase of part is as new keyword;Second path determining unit, for the new keyword to be recommended user, so that user passes through the new pass Keyword, determines the second level propagation path of the much-talked-about topic;Operation execution unit, determines that next stage passes for repeating the new keyword recommended according to upper level propagation path The operation in path is broadcast, obtains the multistage propagation path of the much-talked-about topic;The surface analysis submodule includes:Data statistics unit, for the identical article data in source to be clustered, and counts article number in each source respectively According to quantity;Scope determination unit, it is if meeting default quantity term for the quantity, the corresponding radiation scope in the source is true It is set to the spread scope of the much-talked-about topic;The trend analysis submodule includes:Drawing of Curve unit, for counting daily incremental difference of the article data under different media types, and is depicted as Curve;Trend determination unit, for according to the slope of a curve and default medium type weight coefficient, determining the hot spot The development trend of topic.
- 9. system according to claim 7, it is characterised in that further include:Article recommending module, determines rule for being preset in the basis, from the article data, determines the much-talked-about topic Source article, propagation path, after spread scope and development trend, according to Generalization bounds, determined from the article data Article to be recommended, and recommend user.
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Cited By (9)
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CN109522464A (en) * | 2018-10-22 | 2019-03-26 | 西南石油大学 | Information source detection method and system |
CN109948024A (en) * | 2019-03-12 | 2019-06-28 | 安徽新华学院 | A kind of public sentiment monitoring method and system based on microblogging |
CN111104627A (en) * | 2018-10-29 | 2020-05-05 | 北京国双科技有限公司 | Hot event prediction method and device |
CN111368070A (en) * | 2018-12-06 | 2020-07-03 | 北京国双科技有限公司 | Method and device for determining hot event |
CN112000866A (en) * | 2020-08-05 | 2020-11-27 | 杭州安恒信息技术股份有限公司 | Internet data analysis method, device, electronic device and medium |
CN112579920A (en) * | 2020-12-09 | 2021-03-30 | 成都中科大旗软件股份有限公司 | Cross-space-time propagation analysis method based on events |
CN112632364A (en) * | 2021-03-09 | 2021-04-09 | 中译语通科技股份有限公司 | News propagation speed evaluation method and system |
CN114036221A (en) * | 2021-09-24 | 2022-02-11 | 国务院国有资产监督管理委员会研究中心 | Thematic event analysis method |
CN117093762A (en) * | 2023-07-18 | 2023-11-21 | 南京特尔顿信息科技有限公司 | Public opinion data evaluation analysis system and method |
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Publication number | Priority date | Publication date | Assignee | Title |
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CN109522464A (en) * | 2018-10-22 | 2019-03-26 | 西南石油大学 | Information source detection method and system |
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CN111104627A (en) * | 2018-10-29 | 2020-05-05 | 北京国双科技有限公司 | Hot event prediction method and device |
CN111368070A (en) * | 2018-12-06 | 2020-07-03 | 北京国双科技有限公司 | Method and device for determining hot event |
CN109948024A (en) * | 2019-03-12 | 2019-06-28 | 安徽新华学院 | A kind of public sentiment monitoring method and system based on microblogging |
CN112000866A (en) * | 2020-08-05 | 2020-11-27 | 杭州安恒信息技术股份有限公司 | Internet data analysis method, device, electronic device and medium |
CN112000866B (en) * | 2020-08-05 | 2024-03-26 | 杭州安恒信息技术股份有限公司 | Internet data analysis method, device, electronic device and medium |
CN112579920B (en) * | 2020-12-09 | 2023-06-20 | 成都中科大旗软件股份有限公司 | Method for realizing cross-space-time propagation analysis based on event |
CN112579920A (en) * | 2020-12-09 | 2021-03-30 | 成都中科大旗软件股份有限公司 | Cross-space-time propagation analysis method based on events |
CN112632364A (en) * | 2021-03-09 | 2021-04-09 | 中译语通科技股份有限公司 | News propagation speed evaluation method and system |
CN114036221A (en) * | 2021-09-24 | 2022-02-11 | 国务院国有资产监督管理委员会研究中心 | Thematic event analysis method |
CN117093762A (en) * | 2023-07-18 | 2023-11-21 | 南京特尔顿信息科技有限公司 | Public opinion data evaluation analysis system and method |
CN117093762B (en) * | 2023-07-18 | 2024-02-13 | 南京特尔顿信息科技有限公司 | Public opinion data evaluation analysis system and method |
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