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Classifier construction method and device as well as Chinese text sentiment classification method and system

A construction method and classifier technology, which is applied in the direction of instruments, special data processing applications, electrical digital data processing, etc., can solve the problems of high dependence on application fields and long construction time of classifiers, so as to avoid labor costs and shorten construction Time, the effect of improving the accuracy rate

Inactive Publication Date: 2013-04-03
SUZHOU UNIV
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  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] In view of this, the present invention provides a classifier construction method and device, a Chinese text sentiment classification method and system, to solve the problems that the existing classification method takes a long time to construct a classifier and has a large dependence on the application field

Method used

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  • Classifier construction method and device as well as Chinese text sentiment classification method and system
  • Classifier construction method and device as well as Chinese text sentiment classification method and system
  • Classifier construction method and device as well as Chinese text sentiment classification method and system

Examples

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Effect test

example 1

[0068] Example 1: I don't like this product.

[0069] In the sentence of example 1, if the emotional word is "like", and the negative keyword "no" appears in the sentence, then change the emotional polarity of the emotional word "like", that is, change the emotional polarity of "like" from positive to positive turned negative.

example 2

[0070] Example 2: I like the idea of ​​this product, but the quality is not acceptable to me.

[0071] In the sentence of example 2, if the emotional word is "like", and the transition keyword "but" appears in the next sentence of the sentence, then change the emotional polarity of the emotional word "like", that is, the emotion of "like" The polarity changes from positive to negative.

example 3

[0072] Example 3: It would be fine if the color was red.

[0073] In the sentence of example 3, if the emotional word is "good", and in the sentence where it is located, the keyword "if" appears before the emotional word "good", then change the emotional polarity of the emotional word "good" , which is to change the emotional polarity of "good" from positive to negative.

[0074] In yet another embodiment of the present invention, step S106 may include: if the difference between the number of emotional words whose emotional polarity is positive and the number of emotional words whose emotional polarity is negative is greater than a set threshold, then determine the samples to be labeled The emotional polarity of is positive; if the difference between the number of emotional words whose emotional polarity is negative and the number of emotional words whose emotional polarity is positive is greater than the set threshold, then it is determined that the emotional polarity of the ...

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Abstract

The invention provides a classifier construction method and device as well as a Chinese text sentiment classification method and system. The classification method comprises the following steps of: obtaining a sample to be labeled from a sample set to be labeled; looking up sentiment words in the sample to be labeled; obtaining the sentiment polarity of each sentiment word; converting the sentiment polarity of the sentiment words of which the sentiment polarity conforms to a sentiment polarity conversion rule in the sample to be labeled; counting the amount of the sentiment words of which the sentiment polarity is negative and positive in the sample to be labeled; according to the amount of the sentiment words of which the sentiment polarity is positive and the amount of the sentiment words of which the sentiment polarity is negative, determining the sentiment polarity of the sample to be labeled to obtain a labeled sample; according to the labeled sample, labeling other samples to be labeled in the sample set to be labeled to obtain a labeled sample set; constructing a maximum entropy classifier by the labeled sample set; and classifying a Chinese text to be classified by the maximum entropy classifier. According to the method, the device and the system provided by the invention, the Chinese text classification time is shortened, and the classification accuracy is improved.

Description

technical field [0001] The invention relates to the technical field of natural language processing and pattern recognition, in particular to a method and device for constructing a classifier, and a method and system for classifying Chinese text emotions. Background technique [0002] With the vigorous development of Web2.0, a large number of emotional comments on people, events, products, etc. have been produced on the Internet. Users can understand the opinions of public opinion on a certain event or product by browsing these comments. Due to the large amount of comment information, users will waste a lot of time and energy if they simply rely on manual collection and organization. Therefore, it is urgent to use computers to help users quickly obtain and organize these comment information. Text sentiment analysis technology came into being. pregnancy. [0003] The so-called text sentiment analysis is the process of using computers to help users quickly acquire, organize an...

Claims

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Application Information

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IPC IPC(8): G06F17/30G06F17/28
Inventor 李寿山张小倩周国栋
Owner SUZHOU UNIV
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