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Positive and negative emotion analysis method, terminal equipment and storage medium

A technology of sentiment analysis and surface analysis, applied in the field of text analysis, can solve time-consuming and labor-intensive problems, and achieve the effect of improving the effect of sentiment analysis

Active Publication Date: 2020-03-17
XIAMEN MEIYA PICO INFORMATION
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, in special industries, it is possible to manually collect high-quality emotional knowledge bases. Sentiment analysis in special industries is relatively less dependent on semantics, and good results can be obtained through emotional knowledge bases, but collecting a large number of industry-labeled samples is time-consuming. strenuous

Method used

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  • Positive and negative emotion analysis method, terminal equipment and storage medium
  • Positive and negative emotion analysis method, terminal equipment and storage medium
  • Positive and negative emotion analysis method, terminal equipment and storage medium

Examples

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Embodiment 1

[0035] The embodiment of the present invention provides a positive and negative sentiment analysis method, such as figure 1 As shown, the method includes the following steps:

[0036] S1: Construct and maintain industry keyword rules and industry sentiment dictionaries corresponding to different industries.

[0037] The industry sentiment dictionary contains subject words that can represent the type of the industry, such as the subject words of the police industry include: police, jc, traffic police, etc., and emotional words that can represent the industry's emotions.

[0038] Each industry can correspond to one or more industry keyword rules, and each industry keyword rule is a Boolean operation between multiple keywords. The format of the industry keyword rule set in this embodiment is: word 1 ||word 2||word 3 && word 4 &&! Word 5, wherein: || means logic or operation, && means logic and operation, ! Indicates logical NOT operation, and "()" can be used between logical o...

Embodiment 2

[0072] The present invention also provides a positive and negative sentiment analysis terminal device, including a memory, a processor, and a computer program stored in the memory and operable on the processor. When the processor executes the computer program, the present invention is realized. Steps in the above method embodiment of the first embodiment of the invention.

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Abstract

The invention relates to a positive and negative emotion analysis method, terminal equipment and a storage medium. The method comprises the steps of S1, constructing and maintaining industry keyword rules and industry emotion dictionaries corresponding to different industries; s2, judging whether the to-be-analyzed text data contains keywords contained in the industry keyword rule or not, and if so, entering S3; otherwise, entering S4; s3, according to the industries to which the keywords belong and the industry keyword rules corresponding to the industries, after all the industries to which the text data belong are judged, calculating emotion scores of all the industries according to the industry emotion dictionary corresponding to all the industries, and then obtaining emotion positive and negative analysis results of the text data; and S4, obtaining an emotion positive and negative analysis result of the text data through the trained machine learning model. The sentiment analysis method based on fusion of the industry sentiment words and the machine learning model is adopted, the web text is divided and treated, and the analysis effect is improved.

Description

technical field [0001] The invention relates to the technical field of text analysis, in particular to a positive and negative sentiment analysis method, a terminal device and a storage medium. Background technique [0002] The explosive growth of network data puts forward more and higher requirements for data analysis. Text analysis and mining technology is a technology that is widely used at present. It extracts the semantic content of the text through corresponding technologies and methods, and then performs a series of operations on the text, such as classification, clustering, and emotional positive and negative analysis. It is mainly used for Commodity recommendation, public opinion analysis, text search and other fields. [0003] In the analysis of public opinion, it is necessary to organize and analyze the public opinion in the network under different themes, such as analyzing the positive and negative emotions of the collected texts, automatically identifying the p...

Claims

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Application Information

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IPC IPC(8): G06F16/35G06F16/36G06N3/04G06N3/08
CPCG06F16/353G06F16/374G06N3/08G06N3/044G06N3/045
Inventor 马涛栾江霞章正道徐晓文
Owner XIAMEN MEIYA PICO INFORMATION
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