Survey on sentiment analysis: Evolution of research methods and topics

• Main Authors: CUI, Jingfeng, WANG, Zhaoxia, HO, Seng-Beng, CAMBRIA, Erik
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2023
• Subjects: Sentiment analysis; keyword co-occurrence analysis; evolution analysis; research methods; research topics; Databases and Information Systems; Theory and Algorithms
• Online Access: https://ink.library.smu.edu.sg/sis_research/7771; https://ink.library.smu.edu.sg/context/sis_research/article/8774/viewcontent/2023_Jan_Feb_Survey_on_sentiment_analysis__evolution_of_research_methods_and_topics.pdf
• Institution: Singapore Management University

Sentiment analysis, one of the research hotspots in the natural language processing field, has attracted the attention of researchers, and research papers on the field are increasingly published. Many literature reviews on sentiment analysis involving techniques, methods, and applications have been...