Exploring the Effectiveness of Machine Learning and Deep Learning Algorithms for Sentiment Analysis: A Systematic Literature Review
Sentiment Analysis, a significant domain within Natural Language Processing (NLP), focuses on extracting and interpreting subjective information—such as emotions, opinions, and attitudes—from textual data. With the increa... | Find, read and cite all the research you need on Tech Science Press
Authors
- Jungpil Shin (ORCID: https://orcid.org/0000-0002-7476-2468)
- Pankoo Kim (ORCID: https://orcid.org/0000-0003-0111-5152)
- Wahidur Rahman (ORCID: https://orcid.org/0000-0001-6115-2364)
- Md. Sohel Rana (ORCID: https://orcid.org/0000-0002-7115-5021)
- Tanvir Ahmed (ORCID: https://orcid.org/0000-0002-6633-9379)
- Bakhtiar Mazrur
- Md. Mohsin Mia
- Romana Idress Ekfa
Publication Details
- Journal
- Computers, materials & continua/Computers, materials & continua (Print)
- Published
- 2025-01-01
- DOI
- https://doi.org/10.32604/cmc.2025.066910
- Citations
- 2
- Primary Topic
- Sentiment Analysis and Opinion Mining
- Type
- article
- Field-Weighted Citation Impact
- 4.96
Funders
- University of Aizu
- INNOPOLIS Foundation