Sentiment Analysis using Dictionary-Based Lexicon Approach: Analysis on the Opinion of Indian Community for the Topic of Cryptocurrency

Sankalp Loomba (), Madhavi Dave (), Harshal Arolkar () and Sachin Sharma ()
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Sankalp Loomba: National Forensic Sciences University
Madhavi Dave: Adani Institute of Digital Technology Management
Harshal Arolkar: GLS University
Sachin Sharma: Indrashil University

Annals of Data Science, 2024, vol. 11, issue 6, No 7, 2019-2034

Abstract: Abstract Due to the ever-increasing computing power and easy availability, social-networking platforms like Facebook, Twitter, etc. have become a popular medium to express one’s views instantly, be it about political situations, commercial products, or social occurrences. Twitter is a powerful source of information, whose data can be utilized to investigate the opinions of users through a process called Opinion Mining or Sentiment Analysis. Using the principles of Natural Language Processing and data science, this paper presents a comparative evaluation of multiple lexicon-based sentiment analysis algorithms to extract public opinion from tweets. The study explores the nuances of sentiment analysis using data science methodology, assessing how various lexicon-based algorithms may successfully identify and classify sentiments expressed in tweets from the Indian community about cryptocurrency.

Keywords: Lexical analysis; Opinion mining; Sentiment analysis; Natural language processing; Data science approach; Social media analysis (search for similar items in EconPapers)
Date: 2024
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DOI: 10.1007/s40745-023-00496-y

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