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A fine-grained text sentiment analysis method

A sentiment analysis, fine-grained technology, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve the problem of losing user emotional information

Inactive Publication Date: 2017-07-04
NORTHWESTERN POLYTECHNICAL UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
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AI Technical Summary

Problems solved by technology

[0005] The existing sentiment analysis technology mainly divides the user sentiment contained in the text into two categories: positive and negative. In terms of the division of sentiment categories, it belongs to coarse-grained text sentiment analysis, and a large amount of user sentiment related information is lost.

Method used

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  • A fine-grained text sentiment analysis method
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  • A fine-grained text sentiment analysis method

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Embodiment Construction

[0023] The technical solution of the present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0024] The fine-grained sentiment dictionary construction method of the present invention realizes flow as figure 1 As shown, the detailed steps are as follows:

[0025] Step 101: Set benchmark emotion categories and seed emotion words.

[0026] So far, there is no generally accepted standard for the division of emotions in the field of psychology. The present invention takes the famous 6 benchmark emotions of scholar Ekman as an example, specifically including: happiness (happy), sadness (sorrow), anger (anger), fear (fear) ), surprise (surprise) and disgust (disgust). Firstly, according to the 6 benchmark emotional words as the seed emotional words of each category, the synonym set is searched through wordNet, and put into the corresponding category to complete the first step of the expansion of the fine-...

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Abstract

The invention discloses a fine granularity text sentiment analysis method which includes the first step of building a fine granularity sentiment dictionary, the second step of judging a sentence structure relation and the third step of carrying out sentiment value assessment of a simple sentence. Sentiment related information of more users included by a text can be extracted, inner feelings of the users can be depicted better, and the method can be used for supporting related application researches such as user mood state and change condition analysis based on health.

Description

technical field [0001] The invention belongs to the technical field of English text sentiment analysis, and relates to a fine-grained text sentiment analysis method, in particular to a fine-grained sentiment analysis method for comment texts. Background technique [0002] Human emotions are complex and multifaceted. Because of its complexity and relationship to other external things, emotion belongs to the most challenging phenomena in psychology. There are many traditional ways to understand a person's current emotions: for example, you can consult their subjective feelings, observe changes in their facial expressions or behavior, and their physiological changes. The fact that a person's emotions are complex and cannot be directly measured but only identified through their outward manifestations has given rise to various methods for identifying human emotions. In general, the most common methods of identifying a person's emotional responses can be broadly grouped into thr...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F17/27
Inventor 於志文夏云云郭斌周兴社王柱
Owner NORTHWESTERN POLYTECHNICAL UNIV
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