自然语言处理在文本情感分析领域应用综述  

Review of applications of natural language processing in text sentiment analysis

作　　者：王颖洁[1] 朱久祺 汪祖民[1] 白凤波 弓箭 WANG Yingjie;ZHU Jiuqi;WANG Zumin;BAI Fengbo;GONG Jian(College of Information Engineering,Dalian University,Dalian Liaoning 116622,China;Institute of Evidence Law and Forensic Science,China University of Political Science and Law,Beijing 100088,China;Natural Language Processing Technology Department,Sino FAS(Beijing)Technology Company Limited,Beijing 100088,China)

机构地区：[1]大连大学信息工程学院,辽宁大连116622 [2]中国政法大学证据科学研究院,北京100088 [3]中科金审(北京)科技有限公司自然语言处理部,北京100088

出　　处：《计算机应用》2022年第4期1011-1020,共10页journal of Computer Applications

基　　金：大连大学博士专项基金资助项目(2021QL09)。

摘　　要：文本情感分析已经逐渐成为自然语言处理(NLP)的重要内容,并在系统推荐、用户情感信息获取,为政府、企业提供舆情参考等领域越来越占据重要地位。通过文献调研的方式,对情感分析领域的方法进行对比和综述。首先,从时间、方法等维度对情感分析的方法进行文献调研;然后,对情感分析的主要方法、应用场景进行归纳总结和对比;最后,在此基础上分析每种方法的优缺点。根据分析结果可以知道,在面对不同的任务场景,主要有三种情感分析的方法:基于情感字典的情感分析法、基于机器学习的情感分析法和基于深度学习的情感分析法,基于多策略混合的方法成为改进的趋势。文献调研表明,文本情感分析的技术方法还有改进的空间,在电子商务、心理治疗、舆情监控方面有较大市场和发展前景。Text sentiment analysis has gradually become an important part of Natural Language Processing(NLP)in the fields of systematic recommendation and acquisition of user sentiment information,as well as public opinion reference for the government and enterprises.The methods in the field of sentiment analysis were compared and summarized by literature research.Firstly,literature investigation was carried out on the methods of sentiment analysis from the dimensions of time and method.Then,the main methods and application scenarios of sentiment analysis were summarized and compared.Finally,the advantages and disadvantages of each method were analyzed.According to the analysis results,in the face of different task scenarios,there are mainly three sentiment analysis methods:sentiment analysis based on emotion dictionary,sentiment analysis based on machine learning and sentiment analysis based on deep learning.The method based on multistrategy mixture has become the trend of improvement.Literature investigation shows that there is still room for improvement in the techniques and methods of text sentiment analysis,and it has a large market and development prospects in ecommerce,psychotherapy and public opinion monitoring.

关 键 词：自然语言处理 情感分析 情感字典 机器学习 深度学习 

分 类 号：TP183[自动化与计算机技术—控制理论与控制工程]