Chinese Short Text Semanteme Analysis and Emotion Value Quantization Algorithm

Yi Xuan He; Ye Cui

doi:10.4028/www.scientific.net/AMM.599-601.1439

Paper Titles

Candidate Region Detection of Ship Target in Port Based on Electronic Map
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Car Branding and Communication Strategy Research Based on Microblogging
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Characteristic Study on Carrier Communication Device Noise of Low Voltage Power Lines Based on UPS
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Certificateless Multi-Signcryption Scheme without Pairing
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Chinese Short Text Semanteme Analysis and Emotion Value Quantization Algorithm
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Collaborative Filtering Recommendation Technology Based on Genetic Algorithm
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Compressed Sensing Image Reconstruction Based on Improved Particle Swarm Optimization Algorithm
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Computer Network Security Strategy Research
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Construction of Data Association Model in Coal Mines Based on the Application of Internet of Things
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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 599-601Chinese Short Text Semanteme Analysis and Emotion...

Chinese Short Text Semanteme Analysis and Emotion Value Quantization Algorithm

Abstract:

With the development of social platform, the number of status people use to express their feelings is so large that the requirement for analyzing emotion value and emotion trend quantitatively is so hot. To meet this need, we propose a FSM based model aiming at the feature of short text in Chinese. And with it, we can then evaluate the emotion value in a scientific and quantitative way. Through experiments, we prove the accuracy and the efficiency of this model.