International Journal of Computer Applications |
Foundation of Computer Science (FCS), NY, USA |
Volume 185 - Number 28 |
Year of Publication: 2023 |
Authors: Preeti Mehrotra, Devashri Anwekar, Amit Saxena |
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Preeti Mehrotra, Devashri Anwekar, Amit Saxena . A Review on Sentiment Analysis of Twitter Data. International Journal of Computer Applications. 185, 28 ( Aug 2023), 1-5. DOI=10.5120/ijca2023923025
“Sentiment analysis is a sort of natural language processing” for measuring the sentiment of the public regarding a given product or issue. Sentiment analysis, that is often called “opinion mining”, includes in constructing a system to gather and analyse opinions about product stated through comments, reviews, blog posts or tweets. “Sentiment analysis” may be valuable in numerous ways. In reality, it has moved from computer science to the management sciences as well as social sciences because to its relevance to society and business as a whole. There has been much of effort in the topic of “sentiment analysis” of the twitter data. This study focuses largely on “sentiment analysis” of the twitter data that is beneficial to assess the information in the tweets where views are very unstructured, varied and are either “negative, positive or neutral” in certain situations. In this work, we give a survey and a current methodology for the opinion mining.