Sentiment classification system and method based on support vector machine

A support vector machine and sentiment classification technology, applied in the field of public opinion analysis, can solve problems such as inconsistent judgment results

Active Publication Date: 2016-11-16
SICHUAN CHANGHONG ELECTRIC CO LTD
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  • Abstract
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  • Claims
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AI Technical Summary

Problems solved by technology

"If you don't consider the scene of the text and only judge the emotion of the sentence itself, you will often get inconsistent judgment results.

Method used

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  • Sentiment classification system and method based on support vector machine

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Embodiment Construction

[0041] Such as figure 1 Shown, as an embodiment of the present invention, the emotion classification system based on support vector machine comprises:

[0042] The data acquisition and preprocessing module is responsible for using web crawlers to crawl data, obtain comment information published by users, and preprocess the comment information;

[0043] The feature word and training sample generation module is responsible for taking the preprocessed comment text as input, selecting high-frequency words with specific parts of speech as feature words, and adding them to the feature dictionary; selecting evaluation texts containing feature words as training samples, and The emotions of the training samples are manually labeled;

[0044] The SVM classification module is responsible for extracting feature vectors from training samples based on feature dictionaries, inputting support vector machines to generate classification models; using the classification model to calculate the e...

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Abstract

The invention relates to the public opinion analysis technology and discloses a sentiment classification system and method based on a support vector machine. The sentiment classification system and method are used for finding public opinions from user comment information fast and accurately. A crawler module is used for acquiring comment information published on a forum by a user, data is subjected to word segmentation and other preprocessing, a feature word group of a comment text and training data with typicality are obtained, then the training data is subjected to sentiment annotation, the support vector machine is utilized for calculating the training data, and a classification model is obtained; the comment file to be classified is analyzed through the classification model, and an expected sediment state is obtained; finally, a visualization module is utilized for showing the classification result, the user is helped to know user sediment based on different entity objects (keywords) fast, then the public opinion of the internet is known, and the system and method are suitable for public opinion analysis of websites and forums.

Description

technical field [0001] The invention relates to public opinion analysis technology, in particular to an emotion classification system and method based on a support vector machine. Background technique [0002] With the rapid development of the Internet, the data on the Internet has shown explosive growth. According to incomplete statistics, within one minute, 100,000 new microblogs were added on Twitter. In China, Sina Weibo has 650 million users, with 46 million daily active users, Tencent Weibo has 620 million users, and about 100 million daily active users; not only that, the valuable information in traditional forum websites is about 1 year old. About 100 million. Behind such a large number of active users and the rich and emotional comments they post, there is a lot of valuable information hidden. The analysis of this information can help to discover commenters’ emotions towards specific subjects, for example: microblog / forum users’ comments on the “positive” or “neg...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/27G06F17/30
CPCG06F16/34G06F16/35G06F16/374G06F40/247G06F40/284
Inventor 王欣钟吉英赵亮谭斌于成业郝妙赵海臣
Owner SICHUAN CHANGHONG ELECTRIC CO LTD
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