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Web text sentiment analysis method based on propositional logic

A sentiment analysis and network text technology, applied in natural language processing and information fields, can solve problems such as low accuracy and complex algorithms, and achieve the effect of small time complexity and space complexity

Inactive Publication Date: 2013-05-29
中国互联网新闻中心 +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This method improves the problems of low accuracy and overly complex algorithms in the existing text analysis methods

Method used

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  • Web text sentiment analysis method based on propositional logic
  • Web text sentiment analysis method based on propositional logic
  • Web text sentiment analysis method based on propositional logic

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Embodiment Construction

[0045] In the following, several examples will be given in conjunction with the accompanying drawings in the embodiments of the present invention, and the technical points of the present invention will be demonstrated through specific analysis. Apparently, the described embodiments are only some of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts fall within the protection scope of the present invention.

[0046] (1) Example: I booked for a friend. According to my friend, the hotel is relatively new, and the decoration and facilities are not bad, but the room has a pungent paint smell. Although the room is not too big, it doesn't look too cramped with two double beds. / >

[0047] The execution flow example of the present invention is:

[0048] After text preprocessing, the HTML tag " / >" and the part without emoti...

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Abstract

The invention relates to a web text sentiment analysis method based on propositional logic. The web text sentiment analysis method comprises four modules which are respectively text preprocessing, text sentiment word segment, text sentiment logic symbol expression and text sentiment analysis. The web text sentiment analysis method has the functions of conducting standard preprocessing, redundant text information removing such as non-sentiment, logic connecting word extraction, text symbolization, clause sentiment tendency analysis, sentiment quantitative analysis, sentiment tendency calculation, full text sentiment analysis and the like to a web text, extraction and quantitative analysis of sentiment words are achieved, and the web text sentiment analysis method plays an important role in sentiment finding application, public sentiment searching application, content safety application, search engine application and the like.

Description

technical field [0001] The present invention relates to a network text sentiment analysis method based on propositional logic. The present invention uses propositional logic theory to analyze network text sentiment problems, and is applied to the fields of discovery, search and data mining of phenomena such as network public opinion and emotion, and belongs to the field of information and field of natural language processing. Background technique [0002] The traditional sentiment analysis on the Internet mainly relies on keywords, such as "anger", "happy", etc., and also includes some emotional words and keywords of major events, but these words do not reflect the overall sentiment to a certain extent. The emotion of articles, websites, and communication information, and emotion is a major factor that promotes the development of an event or event. From the strength of emotion, it is possible to analyze the development of events and events, etc. The development of these even...

Claims

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Application Information

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IPC IPC(8): G06F17/27
Inventor 田玉成马晶赵萱陆月明
Owner 中国互联网新闻中心
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