a comprehensive study of sentiment analysis predicted on machine learning classifiers for various datasets

Publication Type: Edited Book

Book Name: Futuristic Trends in IOT Volume 3 Book 6
Authors: Priyanka S. Hase, Dr. Baisa L. Gunjal
Keywords: Sentiment analysis, NLP, ML
Area/Stream: IOT / IoT enabling technologies / Other
Published in: IIP Series
Volume: 3, Month:May,Year:2024
Page No.: 119-125
e-ISBN: 978-93-6252-967-1
DOI/Link: https://www.doi.org/10.58532/V3BBIO6P1CH9

Abstract:

Opinion mining refers to the analysis of sentiment as most important intelligence tools. It analyzes subjective information in an expression to determine the emotional tone. It can be either optimistic, pessimistic or unbiased. Today, a huge amount of data is available on the internet as emails, social media reviews, comments etc. Sentiment analysis helps to determine the author's attitude or the public opinion on a particular topic. There are a variety of applications for sentiment analysis that will be explored in this chapter.

Cite this: Priyanka S. Hase, Dr. Baisa L. Gunjal,"A COMPREHENSIVE STUDY OF SENTIMENT ANALYSIS PREDICTED ON MACHINE LEARNING CLASSIFIERS FOR VARIOUS DATASETS", Futuristic Trends in IOT Volume 3 Book 6,IIP Series, Volume 3, May, 2024, Page no.119-125, e-ISBN: 978-93-6252-967-1, DOI/Link: https://www.doi.org/10.58532/V3BBIO6P1CH9

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A COMPREHENSIVE STUDY OF SENTIMENT ANALYSIS PREDICTED ON MACHINE LEARNING CLASSIFIERS FOR VARIOUS DATASETS

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