Taha TobailiPhD Research Student
I am a datascience PhD student conducting research in Sentiment Analysis for dialectal languages on social media with a specific focus on Arabic. Unlike other languages, Arabic is very dialectal and differs significantly among regions. Many Arabs tend to express their natural mother-tongue in text on social media without following a unified orthography. This unstructured form of language lacks semantic and linguistic resources, making it a challenge for the Arabic Natural Language Processing. Through my research I plan to leverage sentiment analysis methods to handle the heterogeneous Arabic social data. Extracting sentiment from text stems from my interest in Affective Computing: Developing machines that can understand, and react to, human emotion.
Keys: Data Science, Natural Language Processing, Sentiment Analysis.
30 Apr 2020
14 Nov 2019
29 May 2017
15 Aug 2016
11 Jul 2016
Tobaili, T., Fernandez, M., Alani, H., Sharafeddine, S., Hajj, H. and Glavas, G. (2019) SenZi: A Sentiment Analysis Lexicon for the Latinised Arabic (Arabizi), RANLP 2019, Varna, Bulgaria
Tobaili, T. (2016) Arabizi Identification in Twitter Data, Workshop: SRW at ACL 2016