Emotion mapping method and emotion sentential form analysis method applied to search engine

A mapping method and emotion technology, applied in the intersection of computer science technology and linguistics, can solve the problems of insufficient sentiment analysis and low accuracy.

Active Publication Date: 2013-01-09
BEIJING UNIV OF POSTS & TELECOMM
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  • Application Information

AI Technical Summary

Problems solved by technology

The present invention just aims at the problem that the analysis of emotional tendency in the field of sentiment analysis is not rich enough and the accuracy is not high, and proposes a multi-emotional tendency mapping method and an emotional sentence structure analysis method applied to search engines, quantifying Emotional inclination degree, discover hidden emotional inclinations, and effectively solve the above problems

Method used

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  • Emotion mapping method and emotion sentential form analysis method applied to search engine
  • Emotion mapping method and emotion sentential form analysis method applied to search engine
  • Emotion mapping method and emotion sentential form analysis method applied to search engine

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Embodiment Construction

[0052] The calculation process of the present invention will be described below based on specific examples. We use four sentences for analysis, representing parallel progressive sentences, negative sentences, transitional sentences and general sentences respectively.

[0053] 1. The environment is very good, the location is very convenient, and the service is also very good. I will stay again next time.

[0054] 2. The service here is unprofessional.

[0055] 3. Although there will always be some unsatisfactory things in this world, as long as you face them with an optimistic attitude, you will find that everything is so beautiful.

[0056] 4. Seeing his receding back, her sad tears gushed out like a bank bursting.

[0057] In the first step, after the above four sentences are tagged by the emotional word segmentation module, the format of the sentence is as follows:

[0058] 1. The environment / n is very / dcd+1 is good / ajo, / w the location / n is very / dcd+1 is convenient / atr, ...

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Abstract

The invention discloses a multi-emotion tendency mapping method and emotion sentential form analysis method applied to a search engine, belonging to an interdiscipline subject of computer science and technology and linguistics. The multi-emotion tendency mapping method comprises an emotion participle module, an emotional word bank and a multi-tendency mapping module; and the emotion sentential form analysis method comprises a sentential form structure analysis module and a sentential form structure template library. By combining with an Emotion Wheel method of psychology and an evaluation system method of the linguistics, the multi-emotion tendency mapping method and emotion sentential form analysis method applied to the search engine, disclosed by the invention, has advantages of quantitatively distinguishing emotion tendency of emotional words, quantitatively calculating emotion tendency of sentences and discovering hidden emotion tendency of the sentences.

Description

technical field [0001] The invention relates to a multi-emotional tendency degree mapping method and an emotional sentence structure analysis method applied to a search engine, and belongs to the cross field of computer science technology and linguistics. Background technique [0002] As an intermediate station for users to interact with massive network data, search engines enable users to obtain useful information quickly and accurately, and play a very important role in the development of today's network technology. The field of sentiment analysis that has emerged in recent years is an important development branch of search engines. Sentiment analysis can determine the user's emotional tendency by analyzing the semantics of natural language. Search engines can use sentiment analysis to obtain the user's emotional tendency and provide users with personalized and optimized search results. [0003] Domestic research on sentiment analysis mainly focuses on the analysis of ten...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30G06F17/27
Inventor 张钫炜刘浩陆月明
Owner BEIJING UNIV OF POSTS & TELECOMM
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