A Comprehensive Survey on Sentiment Analysis in Twitter Data

被引：6
|
作者：
Krishnan, Hema [1 ]
Elayidom, M. Sudheep [2 ]
Santhanakrishnan, T. [3 ]
机构：
[1] Fed Inst Sci & Technol, Angamaly, Kerala, India
[2] CUSAT, Kochi, Kerala, India
[3] NPOL, Kochi, Kerala, India
来源：
INTERNATIONAL JOURNAL OF DISTRIBUTED SYSTEMS AND TECHNOLOGIES | 2022年 / 13卷 / 05期
关键词：
Blogs; Machine Learning; Performance; Reviews; Sentiment Analysis; Twitter Data; DAILY HAPPINESS SENTIMENT; NEURAL-NETWORK; CLASSIFICATION; FRAMEWORK; TWEETS; POPULARITY; DISCOURSE; PRODUCTS; RETURNS; SYSTEM;
D O I：
10.4018/IJDST.300352
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The literature scrutinizes diverse techniques that are associated with sentiment analysis in Twitter data. It reviews several research papers and states the significant analysis. Initially, the analysis depicts various schemes that are contributed in different papers. Subsequently, the analysis also focuses on various features, and it also analyses the sentiment analysis in Twitter data that is exploited in each paper. Furthermore, this paper provides the detailed study regarding the performance measures and maximum performance achievements in each contribution. Finally, it extends the various research issues that can be useful for the researchers to accomplish further research on sentiment analysis in Twitter data.
引用
收藏
页数：22
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