News Story

Sentiment Analysis for Arabizi: A Multilingual Jargon on Social Media

Taha Tobaili, Monday 29 May 2017 | Annotate
KMi News Image

After spending almost 2 years at the lab, I am finally pleased to share my research with my friends. Last Thursday, 25th of May, I presented my work in NLP titled "Sentiment Analysis for Arabizi: A Multilingual Jargon". Arabizi is a transcription of the naturally-dialectal Arabic language in Latinscript, quiet common in mobile texting and social media. Similar to the Modern Standard Arabic (MSA) or Al-Fus·ha, it is rich in morphology. Unlike MSA, there is no standard orthography to transcribe a spoken language, it is often code-switched with English or French, found within multi-lingual streams of social data, and it is under-resourced lacking the classical NLP tools such as lexicons, stemmers, parsers, and labelled datasets. I talked about a pilot case study that we conducted last year to analyse the usage of Arabizi in Twitter data, and then moved on to address the challenges to process and extract sentiment from Arabizi. I presented some preliminary results and my current and future line of research. I thank Rania Islambouli, Omar Farhat, and Omar Osman for their contributions in annotating a Lebanese dialect Arabizi dataset that is going to be prepared and released publicly soon on You can watch the talk (20 min) via the link below. 

Related Links:


Miriam Fernandez Photograph

Miriam Fernandez

Senior Research Fellow

Telephone Icon Email Icon Website Icon RDF Icon

Twitter Icon

Harith Alani Photograph

Harith Alani

Professor of Web Science

Telephone Icon Email Icon Website Icon RDF Icon

Twitter Icon LinkedIn Icon SlideShare Icon

Latest News


View by


Marie Curie Early Stage Researcher

Knowledge Media Institute (KMi)
£45,463 per year plus allowances
Based in Milton Keynes
Full-time, Fixed-term contract for 36 months

The Knowledge Media Institute invites applications for an Early Stage Researcher to work in the area of bias in Artificial Intelligence. The researcher will work within the interdisciplinary community of the NoBias project and will pursue a PhD in Computer Science at the Open University as part of their 3-year engagement with the project. NoBIAS Artificial Intelligence without Bias, is a project...


Knowledge Media Institute
The Open University
Walton Hall
Milton Keynes
United Kingdom

Tel: +44 (0)1908 653800

Fax: +44 (0)1908 653169

Email: KMi Support


If you have any comments, suggestions or general feedback regarding our website, please email us at the address below.

Email: KMi Development Team