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Chinese Sentence Emotion Classification Method Based on Semantic Analysis

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DOI: 10.23977/ieesasm.2019.364

Author(s)

Yuqiansi He

Corresponding Author

Yuqiansi He

ABSTRACT

in Emotional Dictionary Building Research, the Paper Puts Forward a Method of Building Based on Semantic Analysis of Chinese Basic Emotional Lexicon, Use How.Net and Sent Word Net Resources, Will Automatically Be Decomposed into Multiple Meaning Words Yuan after the Emotional Tendency of Strength Calculation, Using Support Vector Institutions to Build Sentences Emotion Classifiers for Experiments, the Experimental Results Show That the Dictionary is Better Than General Emotional Polarity Dictionary. in Terms of Network Language Emotional Dictionary and Metical-Symbol Emotional Dictionary Construction, Using the So-Pmi Algorithm, the Emotional Weights of the Corresponding Candidate Word Sets Are Calculated Based on the Method of Corpus Statistics. in the Research of Chinese Sentence Emotion Analysis, a Semantic Analysis Based on Semantic Analysis is Proposed. Compromise Methods Constructed Dictionary Interdependence Syntactic Analysis Was Carried out on the Text, and Build Emotional Expression Trees, Calculate According to the Rules Set by the Emotional Intensity of Sentences, Emotional Tendency According to the Strength Value Judgment Sentence Category. the Experimental Results Verify the Effectiveness of the Proposed Method, and Also Indicate That the Emotional Dictionary and the Online Language Emotion Dictionary Constructed Can Effectively Enhance the Performance of Emotional Classifiers. in Text Sentiment Analysis Experiment System Design and Implementation, Using the Dictionary Resources and Build the Emotional Analysis, Design and Implementation Based on C/s and B/s Hybrid Architecture of Experiment System, Text Sentiment Analysis of Mass Data Text Sentiment Analysis Were Discussed. the Functions of the Experimental System Mainly Include Emotional Dictionary Construction Tools, Corpus Management Tools, Emotional Classification Tools and Online Emotional Analysis and Visualization Tools.

KEYWORDS

Chinese Sentences, Emotional Classification, Emotional Dictionary, Support Vector Machines, Semantic Analysis

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