College of Computer Science and Engineering
Information & Computer Science Department
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
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.
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.
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: firstname.lastname@example.org, Website: www.kfupm.edu.sa/departments/ics/
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