Adaptation of sentiment analysis techniques to Persian language

Kia Dashtipour, Amir Hussain, Alexander Gelbukh

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

11 Scopus citations

Abstract

In the recent years, people all around the world share their opinions about different fields with each other over Internet. Sentiment analysis techniques have been introduced to classify these rich data based on the polarity of the opinion. Sentiment analysis research has been growing rapidly; however, most of the research papers are focused on English. In this paper, we review English-based sentiment analysis approaches and discuss what adaption these approaches require to become applicable to the Persian language. The results show that approaches initially suggested for English language are competitive with those developed specifically for Persian sentiment analysis.

Original languageEnglish
Title of host publicationComputational Linguistics and Intelligent Text Processing - 18th International Conference, CICLing 2017, Revised Selected Papers
EditorsAlexander Gelbukh
PublisherSpringer Verlag
Pages129-140
Number of pages12
ISBN (Print)9783319771151
DOIs
StatePublished - 2018
Event18th International Conference on Computational Linguistics and Intelligent Text Processing, CICLing 2017 - Budapest, Hungary
Duration: 17 Apr 201723 Apr 2017

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10762 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference18th International Conference on Computational Linguistics and Intelligent Text Processing, CICLing 2017
Country/TerritoryHungary
CityBudapest
Period17/04/1723/04/17

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