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

Seham A. BamatrafDepartment of Computer Engineering, College of Engineering & Petroleum, Hadhramout University, Mukalla, YemenRasha A. Bin-ThalabDepartment of Computer Engineering, College of Engineering & Petroleum, Hadhramout University, Mukalla, Yemen

Vol 5 No 2 (2021): Volume 5, Issue 2, February 2021 | Pages: 5-9

International Research Journal of Innovations in Engineering and Technology

OPEN ACCESS | Research Article | Published Date: 07-02-2021

doi Logo doi.org/10.47001/IRJIET/2021.502002

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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.

Keywords

Text mining, Classification, Big data, Twitter


Citation of this Article

Seham A. Bamatraf, Rasha A. Bin-Thalab, “Semantic Classification Model for Twitter Dataset Using Wordnet” Published in International Research Journal of Innovations in Engineering and Technology - IRJIET, Volume 5, Issue 2, pp 5-9, February 2021. Article DOI https://doi.org/10.47001/IRJIET/2021.502002

Licence Copyright (c) 2026 International Research Journal of Innovations in Engineering and Technology creative common licence This work is licensed under Creative common Attribution Non Commercial 4.0 Internation Licence
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