The Corpus Based Approach to Sentiment Analysis in Modern Standard Arabic and Arabic Dialects: A Literature Review

Year 2018, Volume: 21 Issue: 2, 461 - 470, 01.06.2018

Anwar Alnawas , Nursal Arıcı

https://doi.org/10.2339/politeknik.403975

Cited By: 8

Abstract

Sentiment
Analysis, is the analysis of ideas, emotions, evaluations, values, attitudes
and feelings about products, services, companies, individuals, tasks, events,
titles and their characteristics. With the increase in applications on the
Internet and social networks, Sentiment Analysis has taken a considerable place
in the field of text mining research and has since been used to explore the
opinions of users about various products or topics discussed over the Internet.
When the literature on Sentiment Analysis is examined, it is seen that the
natural language of the Internet information sources that form the basis of the
analysis is mostly English. Developments in the fields of Natural Language
Processing and Computational Linguistics have contributed positively to
Sentiment Analysis studies made from natural languages other than English. The
purpose of this study is to examine the literature of Sentiment Analysis
conducted in Arabic internet information sources. The literature review
includes studies based on the corpus approach, which is made up of Arabic
Internet information sources. Studies are being carried out on the works which
constitute their own corpora for both Modern Standard Arabic and Arabic
dialects and on which sentiment analysis is performed.

Keywords

Sentiment Analysis, corpora, feature extraction, Arabic Language, NLP

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