Adaptation of sentiment analysis techniques to Persian language

Dashtipour, K.; Hussain, A.; Gelbukh, A.

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.

Citation

Dashtipour, K., Hussain, A., & Gelbukh, A. (2017, April). Adaptation of sentiment analysis techniques to Persian language. Presented at 18th International Conference, CICLing 2017, Budapest, Hungary

• Presentation Conference Type: Conference Paper (published)
• Conference Name: 18th International Conference, CICLing 2017
• Start Date: Apr 17, 2017
• End Date: Apr 23, 2017
• Online Publication Date: Oct 10, 2018
• Publication Date: Oct 10, 2018
• Deposit Date: Sep 23, 2019
• Publisher: Springer
• Pages: 129-140
• Series Title: Lecture Notes in Computer Science
• Series Number: 10762
• Series ISSN: 0302-9743
• Book Title: Computational Linguistics and Intelligent Text Processing
• DOI: https://doi.org/10.1007/978-3-319-77116-8_10
• Public URL: http://researchrepository.napier.ac.uk/Output/1792196