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College of Computer Science and Engineering
Information & Computer Science Department
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Presents Public Seminar
Sentiment Analysis for Sport-Fanaticism in Arabic Tweets: Feature Engineering and a Hybrid approach
Date: Wednesday, 10th March, 2021
Time: 03:30 pm – 4:15 pm
Location: MS Teams Link: Click here to join the meeting
Speaker:
Mohammed Alqmase
Abstract:
Arabic social text poses some challenges for sentiment analysis, as Arabic tweets contains a lot of dialectal variants. In addition, Arabic language is morphologically rich and has complex morpho-syntactic rules which make sentiment analysis a challenge task. Moreover, applying sentiment analysis in a new domain problem such as sport-fanaticism, requires a deep understanding of the domain knowledge. It also requires performing a lot of effort for data analytics and feature engineering. In this paper, the fanatic emotions in Arabic tweets are analyzed, and engineered to build fanatic-classification models. Various features were engineered and evaluated such as stylistic features, phonological features, morphological features, syntactic features, and semantic features. In addition, a hybrid approach that combines both a corpus-based method and lexicon-based method was developed, and several classification models are examined.
Speaker Bio:
I am a PhD student in Computer Science in the ICS Department at KFUPM. My research interests include Sentiment Analysis, natural language processing (NLP), machine learning, knowledge discovery and Software engineering.
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All faculty, researchers and graduate students are invited to attend.
Information & Computer Science Department, College of Computer Sciences and Engineering
Telephone: +966 (13) 860 2175, Email: c-ics@kfupm.edu.sa, Website: www.kfupm.edu.sa/departments/ics/
Copyright © 2014 King Fahd University of Petroleum & Minerals
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