Exploiting deep learning for Persian sentiment analysis

Kia Dashtipour*, Mandar Gogate, Ahsan Adeel, Cosimo Ieracitano, Hadi Larijani, Amir Hussain

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

36 Citations (Scopus)


The rise of social media is enabling people to freely express their opinions about products and services. The aim of sentiment analysis is to automatically determine subject’s sentiment (e.g., positive, negative, or neutral) towards a particular aspect such as topic, product, movie, news etc. Deep learning has recently emerged as a powerful machine learning technique to tackle a growing demand of accurate sentiment analysis. However, limited work has been conducted to apply deep learning algorithms to languages other than English, such as Persian. In this work, two deep learning models (deep autoencoders and deep convolutional neural networks (CNNs)) are developed and applied to a novel Persian movie reviews dataset. The proposed deep learning models are analyzed and compared with the state-of-the-art shallow multilayer perceptron (MLP) based machine learning model. Simulation results demonstrate the enhanced performance of deep learning over state-of-the-art MLP.

Original languageEnglish
Title of host publicationAdvances in Brain Inspired Cognitive Systems - 9th International Conference BICS 2018 Proceedings
EditorsAmir Hussain, Bin Luo, Jiangbin Zheng, Xinbo Zhao, Cheng-Lin Liu, Jinchang Ren, Huimin Zhao
Number of pages8
ISBN (Print)9783030005627
Publication statusPublished - 6 Oct 2018
EventThe 9th International Conference on Brain-Inspired Cognitive Systems - Xi'an, China
Duration: 7 Jul 20188 Jul 2018

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10989 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


ConferenceThe 9th International Conference on Brain-Inspired Cognitive Systems
Abbreviated titleBICS 2018


  • deep learning
  • Persian movie reviews
  • Persian sentiment analysis

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science


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