Exploring the Effectiveness of Machine Learning and Deep Learning Algorithms for Sentiment Analysis: A Systematic Literature Review
Year: 2025
Type: review
Study design: Systematic Review
Abstract: 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, Wahidur Rahman, Tanvir Ahmed, Bakhtiar Mazrur, Md. Mohsin Mia, Romana Idress Ekfa, Md. Sajib Rana, Pankoo Kim
Institutions: University of Aizu, Chosun University, Uttara University
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
Funders: University of Aizu, INNOPOLIS Foundation
OpenAlex ID: W4413095431