Rexplore Graph

The topics associated to the KMi publications listed in this page were automatically generated using the CSO Classifier, a solution developed by the SKM3 team in KMi. This technology has also been adopted by Springer Nature and is used routinely by them to generate automatically the metadata for all Computer Science conference proceedings they publish.

Showing all 2 Publications linked to Taha Tobaili

Taha Tobaili Member status icon

PhD Research Student
Taha Tobaili Photograph

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...

Keys: Data Science, Natural Language Processing, Sentiment Analysis.

Publications | Visit External Site for Details  

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

Topics: artificial intelligence

Publications related to: artificial intelligence

Tobaili, T.

computational linguistics

Publications related to: computational linguistics

Tobaili, T.

correlation analysis

Publications related to: correlation analysis

Tobaili, T.

data mining

Publications related to: data mining

Tobaili, T.

database systems

Publications related to: database systems

Tobaili, T.

information retrieval

Publications related to: information retrieval

Tobaili, T.

knowledge representation

Publications related to: knowledge representation

Tobaili, T.

lexical database

Publications related to: lexical database

Tobaili, T.

linguistics

Publications related to: linguistics

Tobaili, T.

mathematics

Publications related to: mathematics

Tobaili, T.

natural language processing

Publications related to: natural language processing

Tobaili, T.

natural language understanding

Publications related to: natural language understanding

Tobaili, T.

natural languages

Publications related to: natural languages

Tobaili, T.

opinion mining

Publications related to: opinion mining

Tobaili, T.

part of speech

Publications related to: part of speech

Tobaili, T.

polarity classification

Publications related to: polarity classification

Tobaili, T.

semantic orientation

Publications related to: semantic orientation

Tobaili, T.

semantics

Publications related to: semantics

Tobaili, T.

sentiment analysis

Publications related to: sentiment analysis

Tobaili, T.

sentiment classification

Publications related to: sentiment classification

Tobaili, T.

social media

Publications related to: social media

Tobaili, T.

social networks

Publications related to: social networks

Tobaili, T.

speech recognition

Publications related to: speech recognition

Tobaili, T.

syntactic parsing

Publications related to: syntactic parsing

Tobaili, T.

syntactics

Publications related to: syntactics

Tobaili, T.

text processing

Publications related to: text processing

Tobaili, T.

twitter

Publications related to: twitter

Tobaili, T.

word embedding

Publications related to: word embedding

Tobaili, T.

world wide web

Publications related to: world wide web

Tobaili, T.



Publications | Download PDF  

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


Search Publications

    View By

    Toggle Topic Display

    Other Publications

    Seasonings Greetings from KMi

    #kmiou on Bluesky

    KMi

    CONTACT US

    Knowledge Media Institute
    The Open University
    Walton Hall
    Milton Keynes
    MK7 6AA
    United Kingdom

    Tel: +44 (0)1908 653800

    Fax: +44 (0)1908 653169

    Email: KMi Support

    COMMENT

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

    Email: KMi Development Team