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Taha Tobaili Member status icon

PhD Research Student
Taha Tobaili Photograph

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I am a datascience PhD student conducting research in Sentiment Analysis for dialectal languages on social media with a specific focus for 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.

Team: Harith Alani, Miriam Fernandez, Hassan Saif

News

29 May 2017


15 Aug 2016


11 Jul 2016


Publications

Publications | Download PDF  

Tobaili, T. (2016) Arabizi Identification in Twitter Data, Workshop: SRW at ACL 2016

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Research Assistant / Associate

Knowledge Media Institute (KMi)
"£29,301 - £38,183"
Based in Milton Keynes
Temporary contract - September 2017 until December 2018

The Knowledge Media Institute (KMi) is looking for a Research Assistant or a Research Associate to work jointly on two EU funded projects. The Hub4NGI project will strengthen and coordinate the work...

Research Assistant / Associate

Knowledge Media Institute (KMi)
"£29,301 - £38,183"
Based in Milton Keynes
Temporary 15 months contract, commencing Octoberr 2017

The Knowledge Media Institute (KMi) is looking for a Research Assistant or a Research Associate to work on an EU funded project. The Hub4NGI project will strengthen and coordinate the work done by...

ERDF Project Secretary

Knowledge Media Institute (KMi)
"£21,843 - £24,565"
Based in Milton Keynes
Temporary contrat until 30th June 2019

The Open University’s Knowledge Media Institute (KMi) is a distinct research unit within the Faculty of Science, Technology, Engineering and Mathematics (STEM). The unit seeks an experienced Project...

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