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Taha Tobaili Member status icon

PhD Research Student
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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 Asst / Assoc - Text and Data Mining

Knowledge Media Institute (KMi)
29,799 - 38,833 (Grades AC1 / AC2)
Based in Milton Keynes
Temporary contract until 31 December 2018

WE ACCEPT APPLICATIONS FROM CITIZENS GLOBALLY The Knowledge Media Institute (KMi) is a distinct research unit within the Faculty of Science, Technology, Engineering and Mathematics (STEM) at the...

Senior Research Fellow x 2

Knowledge Media Institute (KMi)
50,618 - 56,950 (Grade AC4)
Based in Milton Keynes
Permanent Position

WE ACCEPT APPLICATIONS FROM CITIZENS GLOBALLY The Knowledge Media Institute (KMi) is one of the top research centres in the world in the area of knowledge and media technologies, and we offer a...

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