Sentiment Analysis Tasks and Approaches
| Main Authors: | Enas A. H. Khalil, Enas M.F. El Houby, Hoda K. Mohamed |
|---|---|
| Format: | Article Journal |
| Bahasa: | eng |
| Terbitan: |
, 2021
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| Subjects: | |
| Online Access: |
https://zenodo.org/record/5668728 |
Daftar Isi:
- Sentiment analysis (SA) or opinion mining extracts and analyses subjective information from various sources such as the web, social media, and other sources to determine people's opinions using natural language processing (NLP), computational linguistics, and text analysis. This analyzed information gives the public's feelings or attitudes about specific items, persons, or ideas and identifies the information's contextual polarity. This systematic review gives a clear image of recent work in sentiment analysis SA; it studies the papers published in the SA field between 2016 and 2020 using the science direct and Springer databases. Furthermore, it explains the various approaches employed and the various uses of SA systems. In science Direct, 99 publications meet our research requirements, whereas, in Springer, 57 papers meet the same conditions, with a total of 156 papers reviewed and assessed in this systematic review. Techniques, performance, language, and the domain have been analyzed. Keywords Sentiment analysis; opinion mining; Natural Language Processing; Machine Learning; Deep Learning; word embedding.