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Real Time Sentiment Analysis

Real Time Sentiment Analysis

Sandip Palit, Soumadip Ghosh
Copyright: © 2020 |Volume: 11 |Issue: 1 |Pages: 9
ISSN: 1947-9093|EISSN: 1947-9107|EISBN13: 9781799806578|DOI: 10.4018/IJSE.2020010103
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MLA

Palit, Sandip, and Soumadip Ghosh. "Real Time Sentiment Analysis." IJSE vol.11, no.1 2020: pp.27-35. http://doi.org/10.4018/IJSE.2020010103

APA

Palit, S. & Ghosh, S. (2020). Real Time Sentiment Analysis. International Journal of Synthetic Emotions (IJSE), 11(1), 27-35. http://doi.org/10.4018/IJSE.2020010103

Chicago

Palit, Sandip, and Soumadip Ghosh. "Real Time Sentiment Analysis," International Journal of Synthetic Emotions (IJSE) 11, no.1: 27-35. http://doi.org/10.4018/IJSE.2020010103

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Abstract

Data is the most valuable resource. We have a lot of unstructured data generated by the social media giants Twitter, Facebook, and Google. Unfortunately, analytics on unstructured data cannot be performed. As the availability of the internet became easier, people started using social media platforms as the primary medium for sharing their opinions. Every day, millions of opinions from different parts of the world are posted on Twitter. The primary goal of Twitter is to let people share their opinion with a big audience. So, if the authors can effectively analyse the tweets, valuable information can be gained. Storing these opinions in a structured manner and then using that to analyse people's reactions and perceptions about buying a product or a service is a very vital step for any corporate firm. Sentiment analysis aims to analyse and discover the sentiments behind opinions of various people on different subjects like commercial products, politics, and daily societal issues. This research has developed a model to determine the polarity of a keyword in real time.

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