Sentiment word extraction and collection method based on Weibo

A technology of emotional words and microblogs, which is applied in special data processing applications, instruments, electrical digital data processing, etc., can solve the problems of inability to update emotional words, low correct rate of emotional word polarity, and poor classification effect of emotional word polarity and other issues, to achieve the effect of fast content update, guaranteed scale and timeliness, and small ambiguity

Inactive Publication Date: 2011-12-14
SUZHOU UNIV
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  • Application Information

AI Technical Summary

Problems solved by technology

However, these methods have two common deficiencies, one is that the polarity classification effect of emotional words is not good, and the correct rate of the polarity of the obtained emotional words is not high, and the other is that due to limited resources, the emotional words cannot be updated in time

Method used

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  • Sentiment word extraction and collection method based on Weibo
  • Sentiment word extraction and collection method based on Weibo
  • Sentiment word extraction and collection method based on Weibo

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Embodiment Construction

[0011] A microblog-based emotion word extraction and collection method provided by the embodiment of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0012] A kind of method for extracting and collecting emotion words based on microblog provided by the embodiment of the present invention, please refer to figure 1 , whose steps include:

[0013] 101. Receive an emotion icon, and acquire the polarity of the emotion icon corresponding to the emotion icon;

[0014] Receiving emotional icons collected from at least one microblog text, wherein, emotional icons (Emotion Image) refer to icons used to express user emotions in microblog texts, and then, after receiving these collected emotional icons, according to preset The correspondence table of the set emotional icons and their emotional polarities, and obtain the polarity of the emotional icons corresponding to the collected emotional icons.

[0015] It should be pointed out...

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Abstract

The embodiment of the present invention discloses a method for extracting and collecting emotional words based on microblogs, the steps of which include: receiving emotional icons, and obtaining the polarity of emotional icons corresponding to the emotional icons; using the emotional icons and subject keywords Search and collect the microblog corpus; carry out emotion classification to the microblog corpus according to the polarity of the emotional icon; carry out word segmentation to the microblog corpus, and obtain the part-of-speech tag of the word; use feature extraction method to extract from the microblog corpus Extract emotion words in, and collect; The extracting collection method that present embodiment provides helps to guarantee the scale and the timeliness of the emotion words that extract and collect, also improved the correct rate of the emotion words of collection simultaneously.

Description

technical field [0001] The invention belongs to the technical field of natural language processing, and in particular relates to a method for extracting and collecting emotional words based on microblogs. Background technique [0002] With the continuous development of the Internet, people are becoming more and more accustomed to expressing their opinions and emotions on the Internet. There are a large number of texts with emotional tendencies on the Internet, and these texts with emotional tendencies often exist in the form of product reviews, forum reviews, and blogs. In order to automatically acquire and analyze such subjective information, the research on text sentiment analysis (Sentiment Analysis) has been developed rapidly and has been closely watched by the academic and commercial circles. [0003] Sentiment dictionary construction is a basic task in sentiment analysis tasks. Sentiment dictionary helps to automatically classify sentence-level or chapter-level senti...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30G06F17/27
Inventor 李寿山王红玲周国栋
Owner SUZHOU UNIV
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