Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
Sentiment analysis, also known as opinion mining, is a rapidly growing field in natural language processing. The goal of sentiment analysis is to automatically identify and extract subjective information from source materials, such as online reviews or social media posts. This review article aims to provide an overview of the current state of the art in sentiment analysis, including popular techniques and tools used for data preprocessing, feature extraction, and model training. We will also discuss some of the key challenges and limitations of sentiment analysis, such as dealing with sarcasm and subjectivity, and highlight some recent trends and future directions in the field. Overall, the article will provide a comprehensive understanding of the key concepts and methods used in sentiment analysis, making it a valuable resource for researchers, practitioners, and students interested in this topic.
"SENTIMENT ANALYSIS IN E-COMMERCE: TECHNIQUES, APPLICATIONS, AND CHALLENGES", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.8, Issue 12, page no.655 - 660, December-2023, Available :http://www.ijrti.org/papers/IJRTI2312091.pdf
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2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator