EXPLORATORY TOOLS FOR SENTIMENT ANALYSIS – AN OVER VIEW

Social media is usually very fast in delivering content of any different kinds of events. People share their opinions or sentiments on Products or text content or Apps. Generally, customer show more interest as what kinds of opinions gave for the products to know what existing user did. We can acquire data and can-do processing, and that processed data is sued for sentiment analysis. It is very useful for business analysis, production, quality, sales. Processing different multidimensional data is very challenging task. In this paper we have tried to explore what are the best tools in generating good output for sentiment analysis.

Authors

Publication Details

Journal
International Journal of Advanced Research in Computer Science
Published
2024-12-20
DOI
https://doi.org/10.26483/ijarcs.v15i6.7158
Primary Topic
Sentiment Analysis and Opinion Mining
Type
article
Field-Weighted Citation Impact
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article

EXPLORATORY TOOLS FOR SENTIMENT ANALYSIS – AN OVER VIEW

K. Srikanth
International Journal of Advanced Research in Computer Science
Sentiment Analysis and Opinion Mining
article

EXPLORATORY TOOLS FOR SENTIMENT ANALYSIS – AN OVER VIEW

K. Srikanth
article en

Abstract

Social media is usually very fast in delivering content of any different kinds of events. People share their opinions or sentiments on Products or text content or Apps. Generally, customer show more interest as what kinds of opinions gave for the products to know what existing user did. We can acquire data and can-do processing, and that processed data is sued for sentiment analysis. It is very useful for business analysis, production, quality, sales. Processing different multidimensional data is very challenging task. In this paper we have tried to explore what are the best tools in generating good output for sentiment analysis.

International Journal of Advanced Research in Computer ScienceVol. 15(6)
Openalex Percentile: Top 78%
Sentiment Analysis and Opinion Mining
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EXPLORATORY TOOLS FOR SENTIMENT ANALYSIS – AN OVER VIEW — K. Srikanth · International Journal of Advanced Research in Computer Science (2024) | TGRS Research Map | TGRS