International Research Journal of Innovations in Engineering and Technology - IRJIET International Open Access, Monthly, Peer Reviewed, Reputed Journal ISSN (online): 2581-3048

Impact Factor (2025): 6.9

DOI Prefix: 10.47001/IRJIET

Semantic Classification Model for Twitter Dataset Using Wordnet

Abstract

Twitter is an emerged field in today social media. As twitters increasing, an increasing demand is emerged to mine these twitters and extract useful information. Traditional classification methods have a problem with tweets due to its short sentences. This paper handles the problem of classifying tweets by adapting bag of words feature with semantic tools for natural processing language. The experiments showed a stable performance of classifications in accuracy compared with traditional features of text classification.

Country : Yemen

1 Seham A. Bamatraf2 Rasha A. Bin-Thalab

  1. Department of Computer Engineering, College of Engineering & Petroleum, Hadhramout University, Mukalla, Yemen
  2. Department of Computer Engineering, College of Engineering & Petroleum, Hadhramout University, Mukalla, Yemen

IRJIET, Volume 5, Issue 2, February 2021 pp. 5-9

doi.org/10.47001/IRJIET/2021.502002

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