Individualized online news comment mood forecast method capable of fusing multiple information sources

A technology with multiple information sources and prediction methods, applied in special data processing applications, instruments, electrical and digital data processing, etc., can solve the problems that information sources cannot reflect user emotions, emotional prediction indications and reliability are different, and achieve accurate results. Effect

Inactive Publication Date: 2015-03-25
NANKAI UNIV
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AI Technical Summary

Problems solved by technology

[0006] At the same time, in the news comment sentiment prediction problem, a single information source cannot reflect the sentiment of all users, and different information sources can interpret user sentiment in news comments from different angles, and for different comments, the sentiment prediction of different information sources Indicative and Reliable are Different

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  • Individualized online news comment mood forecast method capable of fusing multiple information sources
  • Individualized online news comment mood forecast method capable of fusing multiple information sources
  • Individualized online news comment mood forecast method capable of fusing multiple information sources

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Embodiment Construction

[0107] The present invention belongs to the problem of sentiment analysis, and proposes a personalized online news comment sentiment prediction method that integrates multiple information sources. The overall process of the method is as follows figure 1 shown.

[0108] The present invention takes the Sina data set as an example, including hot news with more clicks on some Sina news social channels (Society Channel) from January 2011 to June 2011, and their hot comments and user sentiment voting information, Figure 10 Statistics for the dataset.

[0109] For each comment in the dataset, experts are asked to annotate a sentiment category label. The text feature adopts the word frequency of emotional words in news commentary text content. First, use the Chinese word segmentation function provided by the Chinese Lexical Analysis System ICTCLAS (Institute of Computing Technology, Chinese Lexical Analysis System) developed by the Institute of Computing Technology, Chinese Academy...

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Abstract

The invention provides an individualized online news comment mood forecast method capable of fusing multiple information sources. The online news comment mood forecast method capable of fusing multiple information sources is put forward on the basis of online news comment mood forecast based on a single information source. Online news comment mood forecast is achieved through the single information source on the three aspects of user comments, news texts and user mood votes. By combining the various heterogeneous information sources, the forecast accuracy is greatly improved. The method put forward is remarkably superior to other alternative methods of online news comment mood forecast and has higher superiority when processing a large number of comment sets large in difference. The method can be used for user sentiment analysis and public sentiment supervision.

Description

technical field [0001] The invention belongs to the field of web information retrieval and mining, and specifically relates to a method for predicting online news comment sentiment from various information sources such as heterogeneous news content, comment content, and user emotion. Background technique [0002] As the main network information carrier, online news service has become an indispensable source of news information in people's life. Online news has gradually replaced the traditional ways of receiving news such as newspapers, radio, and TV news, and is deeply loved by netizens for its timely, comprehensive, and convenient features. More and more people have developed the habit of browsing news on the Internet every day, learn about news information in real time from online news, and at the same time, express their own subjective emotions by posting their own comments on news events or other users' opinions. [0003] Sentiment prediction is one of the most importa...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30
CPCG06F16/353G06F40/30
Inventor 张莹俞力王超杨志帆袁晓洁
Owner NANKAI UNIV
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