Author : Rajesh bose, p. s. aithal, sandip roy
Keyword : Cluster, opinions, sentiments, twitter
Subject : Management
Article Type : Original article (research)
DOI : 10.30534/ijeter/2020/129872020
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Abstract : Twitter is now one of the greatest podiums all over the world through which anyone can present his opinion regarding a particular issue. It is a social networking site. Every day, it generates almost 500 million of tweets and the total volume of tweets contains 8TB of data. This data is very much significant if examined, because we are able to draw out salient facts through opinion mining. We can keep an eye at the augmentation of a product or any important affairs or events or a novel fashion in twitter data. The prime objective of this sentiment analysis or opinion mining is to explore emotion, opinion, subjectivity and perspective from a customary text on application of a medicine for the treatment of COVID-19(Corona Virus Disease 2019). We can classify the tweets into positive and negative sentiments in twitter sentiment analysis.
Article by : Sreeramana Aithal
Article add date : 2021-01-12
How to cite : Rajesh bose, p. s. aithal, sandip roy. (2021-January-12). Sentiment analysis on the basis of tweeter comments of application of drugs by customary language toolkit and textblob opinions of distinct countries. retrieved from https://www.openacessjournal.com/abstract/554