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Extraction system of affective characteristic words

A technology of emotional features and extraction system, which is applied in special data processing applications, instruments, calculations, etc., can solve the problem of low recall rate of comments, and achieve the effect of improving recall rate and effect

Inactive Publication Date: 2009-12-23
PEKING UNIV
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AI Technical Summary

Problems solved by technology

However, the recall rate of these methods for comments is low, that is, many comments do not have corresponding emotional feature words to analyze their emotional tendencies

Method used

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  • Extraction system of affective characteristic words
  • Extraction system of affective characteristic words
  • Extraction system of affective characteristic words

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Embodiment Construction

[0019] The present invention will be described in detail below in conjunction with the accompanying drawings and embodiments.

[0020] Such as figure 1 As shown, the present invention is based on a multi-level emotional feature word extraction system, by modeling the word difference between the comments and the articles targeted by the comments, and finding out the emotional features commonly used in the comment content according to the hierarchical relationship between words and words words, and domain-specific sentiment feature words. The system of the present invention includes: a feature selection module 1 , a feature verification module 2 , a relationship extraction module 3 , a broad emotional feature vocabulary 4 and a narrow emotional feature vocabulary 5 . On the one hand, in the feature selection module 1, the statistical information of the comment content in the comment set R and the article content in the article collection N targeted by the comment set R is calcu...

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Abstract

The invention relates to an extraction system of affective characteristic words. The extraction system is characterized by comprising a characteristic selecting module, a characteristic verification module, a relation extraction module, a generalized affective characteristic word list and a narrow affective characteristic word list; the characteristic selecting module utilizes article content in an article set pointed by comment and comment content in a comment set to respectively extract all candidate affective characteristic words and sorted candidate affective characteristic words in the comment content; the relation extraction module constructs a sense relation diagram between words by a template according to the article content, establishes the generalized affective characteristic word list by the all candidate affective characteristic words and the sense relation diagram; and establishes the narrow affective characteristic word list by the sorted candidate affective characteristic words and the sense relation diagram. The method for obtaining affective characteristic words not only is applicable to universal sentiment analysis with larger subject, but also can carry out deeper sentiment analysis in detailed subject. The extraction system of affective characteristic words can be widely applied to sentiment analysis of comment of news, forums, blogs and the like.

Description

[0001] technical topics [0002] The invention relates to a feature extraction system, in particular to an emotion feature word extraction system. Background technique [0003] With the popularization of the network, the data on the network grows exponentially. Especially with the rise and development of Web2.0, there are more and more user-generated content on the Internet, such as blogs, comments, forum posts, etc., and they occupy an increasingly important position in the network. In addition to factual content, user-generated content also contains a large amount of content related to emotional factors, and the influence of the latter is also increasing. For example, when a user purchases a product, he will naturally search for information about the product he wants to buy online, and other users' comments on the product may directly affect the user's purchase. Therefore, manufacturers are paying more and more attention to consumers' feedback on their products. Using thes...

Claims

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Application Information

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IPC IPC(8): G06F17/30
Inventor 陶富民高军王腾蛟杨冬青
Owner PEKING UNIV
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