基于主题的文本句情感分析

计算机科学 ›› 2014, Vol. 41 ›› Issue (3): 32-35.

基于主题的文本句情感分析

王磊,苗夺谦,张志飞,余鹰

同济大学计算机科学与技术系上海201804同济大学嵌入式系统与服务计算教育部重点实验室上海201804;同济大学计算机科学与技术系上海201804同济大学嵌入式系统与服务计算教育部重点实验室上海201804;同济大学计算机科学与技术系上海201804同济大学嵌入式系统与服务计算教育部重点实验室上海201804;同济大学计算机科学与技术系上海201804同济大学嵌入式系统与服务计算教育部重点实验室上海201804

出版日期:2018-11-14 发布日期:2018-11-14
基金资助:
本文受国家自然科学基金(61075056,61273304),中央高校基本科研业务费专项资金资助

Emotion Analysis on Text Sentences Based on Topics

WANG Lei,MIAO Duo-qian,ZHANG Zhi-fei and YU Ying

Online:2018-11-14 Published:2018-11-14

摘要/Abstract

摘要： 近年来,针对互联网在线信息的情感分析已经成为自然语言处理领域的一个研究热点。提出一个基于主题的情感向量空间模型,它将文本的潜在主题特征融入情感模型中,结合情感词典,利用多标签分类算法,对文本中句的情感极性进行分析与研究。实验结果表明,基于主题的情感向量空间模型在句的情感极性判断上取得了令人满意的效果。

关键词: 情感词典,概率主题,多标签分类,情感分析中图法分类号TP391文献标识码A

Abstract: The emotion analysis on internet online information has received much attention from natural language processing field in recent years．A novel emotion vector space model based on topics for text sentences was proposed．The new model including the latent topics features,emotion dictionary and multi-label classification algorithm was applied to analyze the polarity of sentences．Experiment result shows that the model is reasonable and effective in recognizing the polarity of sentences.

Key words: Emotion dictionary,Probability topics,Multi-label classification,Emotion analysis

王磊,苗夺谦,张志飞,余鹰. 基于主题的文本句情感分析[J]. 计算机科学, 2014, 41(3): 32-35. https://doi.org/

WANG Lei,MIAO Duo-qian,ZHANG Zhi-fei and YU Ying. Emotion Analysis on Text Sentences Based on Topics[J]. Computer Science, 2014, 41(3): 32-35. https://doi.org/

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