PerSent 2.0: Persian sentiment lexicon enriched with domain-specific words

Kia Dashtipour*, Ali Raza, Alexander Gelbukh, Rui Zhang, Erik Cambria, Amir Hussain

*Corresponding author for this work

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

13 Citations (Scopus)

Abstract

Sentiment analysis is probably the most actively growing area of natural language processing nowadays, which leverages huge amount of user-contributed data on Internet to improve income of businesses and quality of life of consumer. The majority of existent sentiment-analysis systems is focused on English, due to lack of resources and tools for other languages. To fill this gap for Persian language, in our previous work we have compiled the first version of PerSent Persian sentiment lexicon, which was small and included only words and phrases from general domain. In this paper, we present its extension with words from three different domains and evaluate its performance on polarity classification task using various machine learning-based classifiers. We use a multi-domain dataset to evaluate the performance of our new lexicon on various domains. Our results demonstrate usefulness of the new lexicon for analysis of product and movie reviews and especially of political news in Persian language.

Original languageEnglish
Title of host publicationAdvances in Brain Inspired Cognitive Systems - 10th International Conference, BICS 2019, Proceedings
EditorsJinchang Ren, Amir Hussain, Huimin Zhao, Jun Cai, Rongjun Chen, Yinyin Xiao, Kaizhu Huang, Jiangbin Zheng
PublisherSpringer
Pages497-509
Number of pages13
ISBN (Print)9783030394301
DOIs
Publication statusPublished - 2020
Event10th International Conference on Brain Inspired Cognitive Systems, BICS 2019 - Guangzhou, China
Duration: 13 Jul 201914 Jul 2019

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11691 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference10th International Conference on Brain Inspired Cognitive Systems, BICS 2019
Country/TerritoryChina
CityGuangzhou
Period13/07/1914/07/19

Keywords

  • Machine learning
  • Persian
  • Sentiment analysis

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