Sentiment analysis methods, applications, and challenges: A systematic literature review
Chongqing University of Posts and Telecommunications · Chongqing Jiaotong University
Abstract
With the expansion of Internet-based applications, the number of comments shows explosive growth. Analyzing the attitudes and emotions behind comments provides powerful assistance for businesses, governments, and scholars. However, it is hard to effectively extract user’s attitude from the massive amounts of comments. Sentiment analysis (SA) provides an automatic, fast and efficient tool to identify reviewers’ opinions and sentiments. However, the existing literature reviews cover a limited number of studies or have a narrow field of studies for sentiment analysis. This paper provided a systematic literature review of sentiment analysis methods, applications, and challenges. This systematic literature review…
Citation impact
- FWCI
- 47.40
- Percentile
- 100%
- References
- 160
Authors
3Topics & keywords
- Sentiment analysis
- Computer science
- Data science
- Information retrieval
- Artificial intelligence