Classification of Tweets Using Dictionary and Lexicon Based Approaches

Jayamalini, K. and Ponnavaikko, M. (2019) Classification of Tweets Using Dictionary and Lexicon Based Approaches. Scopus, 38. pp. 356-364. ISSN 2367-4512

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Abstract

Online social media is pervasive in nature. It allows people to use short text messages, images, audios and videos to express their opinions and sentiments about products, events and other people. For example, Twitter is an online social networking and news service where users post and interact with small and short messages, called “tweets”. Therefore, nowadays social media become a potential source for business and celebrities to find people’s sentiments and opinions about a particular event or product or themselves. Social media analysis is the process of gathering enormous amount of digital contents generated online from blogs sites and social media networks and examining them to find the insights. This paper focuses on discovering public opinions and sentiments he on the results of Indian election results declared recently. This Paper also deals Dictionary based Approach and Affective Lexicon based approaches which were used to find the public opinion about election results. © 2021 Elsevier B.V., All rights reserved.

Item Type: Article
Subjects: Computer Science > Artificial Intelligence
Divisions: Engineering and Technology > Aarupadai Veedu Institute of Technology, Chennai > Computer Science Engineering
Depositing User: Unnamed user with email techsupport@mosys.org
Last Modified: 04 Dec 2025 12:00
URI: https://vmuir.mosys.org/id/eprint/3632

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