Method for analyzing tendentiousness of affective words

An analysis method and technology of emotional words, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve problems such as difficulty in obtaining thesaurus, poor accuracy, artificial influence, etc., to speed up construction, improve accuracy, and reduce workload effect

Inactive Publication Date: 2010-07-21
INST OF COMPUTING TECH CHINESE ACAD OF SCI
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AI Technical Summary

Problems solved by technology

[0005] In order to overcome the defects that the thesaurus is difficult to obtain, poor accuracy and artificial influence in the

Method used

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  • Method for analyzing tendentiousness of affective words
  • Method for analyzing tendentiousness of affective words
  • Method for analyzing tendentiousness of affective words

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Embodiment Construction

[0038] A method for analyzing the tendency of emotional words provided by the present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0039] The present invention proposes a method for analyzing the tendency of emotional words independent of the application field, which can be applied or transplanted to multiple specific fields, including but not limited to: sentiment analysis of network videos, news, blogs, microblogs and Sentiment analysis of its reviews, sentiment analysis of movie reviews, sentiment analysis of commodity reviews, etc.

[0040] refer to figure 1 , shows and describes a method for analyzing the tendency of sentiment words according to an embodiment of the present invention. Such as figure 1 As shown, the method includes: step 10), grabbing the comment information with star ratings on the network; step 20), extracting the emotional words in the comment information; step 30), the emotional...

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Abstract

The invention provides a method for analyzing tendentiousness of affective words, comprising the following steps: grasping the comment information with star levels on the network; extracting affective words in the comment information; and obtaining the tendentiousness of affective words by weighting sums of tendentiousness of affective words calculated by numerical value of star levels, tendentiousness of affective words with constructed seed affective words based on PMI-IR algorithm and tendentiousness of affective words calculated based on conjunction character. Through the application of the method, the work load for affective analysis system construction is reduced; the influence of human subjective factor on marking of affective words is reduced by using the comment with star levels on the network; and weighting sums of tendentiousness of affective words are carried out through the combination of various algorithms, thereby reducing the influence due to bad selection of seed affective words and the influence of corpus quality to tendentiousness of affective words.

Description

technical field [0001] The present invention relates to the classification technology of emotional words, more specifically, the present invention relates to a method for analyzing the tendency of emotional words. Background technique [0002] With the rapid development and wide application of web2.0 technology, more and more user-generated content (UGC, User Generated Content) has appeared on the Internet, such as the content published on the BBS system, and the user's feedback on products or sellers in online stores. Comments, now online video and its comment information, and various systems such as blogs and microblogging systems that allow Internet users to express their thoughts freely. With the convenience of surfing the Internet and the popularity of mobile Internet access, user-generated content has expanded rapidly, and attention to such information has gradually increased in all aspects. For example, a manufacturer hopes to know people's expectations for the produ...

Claims

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Application Information

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IPC IPC(8): G06F17/27G06F17/30
Inventor 蒋喻新张勇东郭俊波
Owner INST OF COMPUTING TECH CHINESE ACAD OF SCI
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