Open AccessImpact of Demonetization in India using Opinion Mining over Twitter Data
Author(s) -
Mrugendrasinh Rahevar,
Martin Parmar,
Rekha K. Karangiya
Publication year - 2020
Publication title -
international journal of scientific research in computer science, engineering and information technology
Language(s) - English
Resource type - Journals
ISSN - 2456-3307
DOI - 10.32628/cseit2062147
Subject(s) - sentiment analysis , public opinion , social media , government (linguistics) , field (mathematics) , data science , the internet , process (computing) , everyday life , opinion leadership , politics , work (physics) , computer science , political science , public relations , world wide web , artificial intelligence , engineering , law , linguistics , philosophy , mathematics , pure mathematics , operating system , mechanical engineering
In recent years, the utilization of Internet has turned out to be one of the everyday activities in our life. Social networks constitute a noteworthy segment of the Web and made an upheaval. It incorporates social media, forum conversations, blogs and micro-blogs like twitter. Due to this, large numbers of comments are produced on daily basis. So, nowadays most of the researchers or analyzers are concentrating on extracting significant data from social networks in order to understand the public viewpoint. This research has been reached out outside the computer science to cover other areas like business, political and social science. Hence, Sentiment analysis and Opinion mining are popular field of research in Data mining. This paper delineates various aspects of sentiment analysis in detail inclusive of important concepts, classification, process, importance, challenges and applications. The following paper presents experiment on sentiment analysis of public opinion on demonetization in India. Sentiment analysis is performed on tweets related to demonetization in India extracted from twitter. Polarity of the opinion is observed through the experimental analysis. Through the outcome of this analysis, the sentiments of the citizens that are determined help the government in improving their decisions and work for the welfare of the citizens.