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World Journal of Engineering
Research and Technology

( An ISO 9001:2015 Certified International Journal )

An International Peer Reviewed Journal for Engineering Research and Technology

ISSN 2454-695X

Impact Factor : 5.924

ICV : 79.45

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Indexing

Abstract

TWITTER SENTIMENT ANALYSIS ON ‘INDIA CHINA BORDER DISPUTE’

Sangeeta Rani* and Nasib Singh Gill

ABSTRACT

Social networking sites are frequently used by common men to express their opinion on different issues worldwide. Twitter is one of the social networking sites used by Twitter users for putting their comments on various topics. This information collected can be used to find people’s opinion or sentiment that can further help in various analysis and decision support. The present paper collects and analyzes 10000 real-time tweets related to ‘India China Border Dispute’ collected from 17 to 21 June 2020. Dictionary-based classifier is used to find the opinion of people as positive, neutral or negative on India China border issue. A lexicon having 4787 negative and 2008 positive words is used in dictionary based classification technique. RStudio tool is used for implementation and analysis. The results show that 58.65 % people are tweeting negatively, 31.37 % tweets are neutral and only 9.98 % tweets are positive. This shows the criticality of the issue and people’s concern about the matter, as maximum number of people are tweeting negatively. The issue should be resolved for border peace and tranquility

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