Network news acquisition and text sentiment prediction system

A prediction system and news technology, applied in the field of intelligent applications, can solve problems such as inability to analyze news text, and achieve the effect of network security and convenience

Inactive Publication Date: 2017-11-03
JIANGXI HONGDU AVIATION IND GRP
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AI Technical Summary

Problems solved by technology

[0004] Many text emotion prediction systems currently appearing mainly analyze and mine subjective texts (such as comments, opinions, likes and dislikes, etc.), that is, according to the emotional keywords in subjective texts, find out the user’s emotional tendencies reflected in these subjective texts, usually containing There are two types of emotions, positive and negative, and it is impossible to systematically analyze the text of the news to dig out the factors that affect people's emotions hidden in the news

Method used

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Embodiment Construction

[0044] In order to make the technical means realized by the present invention, creative features, goals and effects easy to understand, the present invention will be further elaborated below in conjunction with specific drawings.

[0045] see figure 1 A network news acquisition and text emotion prediction system is shown, with specific steps:

[0046] 1) Establish the news text crawled from the web as the training set

[0047]Crawl massive amounts of webpage information through crawlers, and analyze news texts and votes during the crawling process. At the same time, preprocess and match news texts according to set keywords to build a corpus, and automatically label news texts according to votes. To obtain the corpus that meets the needs and store it locally;

[0048] ①Acquisition of social news

[0049] Mainly grab social news websites that contain emotional votes, use crawlers to crawl webpages, first analyze the structure of the website, extract the content related to the...

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Abstract

The invention discloses a network news acquisition and text sentiment prediction system. A news text crawled by a network is taken as a training set, a text classification algorithm is used for establishing a training model, a news text to be predicted is classified according to the training model, automatic sentiment annotation is carried out, an influence, which may be caused for public emotions, of a network news text to be published is predicted, the text sentiment prediction system capable of predicting the influence of social news on public sentiment is constructed, a public opinion which may be caused by news is predicted, and convenience is provided for network security.

Description

technical field [0001] The invention relates to the technical field of intelligent applications, in particular to a network news acquisition and text emotion prediction system. Background technique [0002] Today, with the rapid development of the Internet, the Internet has become an important source of information for people, enabling people to understand social dynamics more conveniently. But in real life, after reading a piece of news, people will automatically generate corresponding emotions. For example, most people will become angry when they see "inappropriate" news; In fact, the news text itself may not contain any emotional words (such as "depressed", "sad", "happy", etc.), but reading this kind of news will make people have a certain emotional tendency, and this emotional tendency has a certain distribution Regularity, and most people's emotional reaction to a certain news is basically the same. [0003] As the amount of data increases, the government and website...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30G06F17/27G06K9/62
CPCG06F16/355G06F16/951G06F40/289G06F40/30G06F18/2411
Inventor 黄江林周继强王丽峰贠周会吴斌
Owner JIANGXI HONGDU AVIATION IND GRP
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