Computer Engineering and Applications ›› 2021, Vol. 57 ›› Issue (12): 11-24.DOI: 10.3778/j.issn.1002-8331.2101-0022

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Review of Text Sentiment Analysis Methods

WANG Ting, YANG Wenzhong   

  1. 1.Key Laboratory of Software Engineering Technology, College of Software, Xinjiang University, Urumqi 830046, China
    2.College of Information Science and Engineering, Xinjiang University, Urumqi 830046, China
  • Online:2021-06-15 Published:2021-06-10



  1. 1.新疆大学 软件学院 软件工程技术重点实验室,乌鲁木齐 830046
    2.新疆大学 信息科学与工程学院,乌鲁木齐 830046


Text sentiment analysis is an important branch of natural language processing, which is widely used in public opinion analysis and content recommendation. It is also a hot topic in recent years. According to different methods used, it is divided into sentiment analysis based on emotional dictionary, sentiment analysis based on traditional machine learning, and sentiment analysis based on deep learning. Through comparing these three methods, the research results are analyzed, and the paper summarizes the advantages and disadvantages of different methods, introduces the related data sets and evaluation index, and application scenario, analysis of emotional subtasks is simple summarized. The future research trend and application field of sentiment analysis problem are found. Certain help and guidance are provided for the researchers in the related areas.

Key words: sentiment analysis, emotional dictionary, machine learning, deep learning, attention mechanism, pre-training



关键词: 情感分析, 情感词典, 机器学习, 深度学习, 注意力机制, 预训练