# Sentiment Analysis of Persian Language: Review of Algorithms, Approaches and Datasets

arXiv: https://arxiv.org/abs/2212.06041 · HTML: https://mlsanity.com/paper/2212.06041/

## Key facts

- Cited by 2 papers in the map (data through 14 Oct 2026).
- Builds on 11 of its 44 references that are in the map.
- First posted on arXiv 9 Nov 2022.

## Builds on (most cited first, 11 of 11)

- [SentiPers: A Sentiment Analysis Corpus for Persian](https://mlsanity.com/paper/1801.07737/) (2018)
- [A Hybrid Persian Sentiment Analysis Framework: Integrating Dependency Grammar Based Rules and Deep Neural Networks](https://mlsanity.com/paper/1909.13568/) (2019)
- [A Survey on sentiment analysis in Persian: A Comprehensive System Perspective Covering Challenges and Advances in Resources, and Methods](https://mlsanity.com/paper/2104.14751/) (2021)
- [DeepSentiPers: Novel Deep Learning Models Trained Over Proposed Augmented Persian Sentiment Corpus](https://mlsanity.com/paper/2004.05328/) (2020)
- [Exploiting Deep Learning for Persian Sentiment Analysis](https://mlsanity.com/paper/1808.05077/) (2018)
- [Sentiment Analysis of Persian-English Code-mixed Texts](https://mlsanity.com/paper/2102.12700/) (2021)
- [Exploiting BERT to improve aspect-based sentiment analysis performance on Persian language](https://mlsanity.com/paper/2012.07510/) (2020)
- [LexiPers: An ontology based sentiment lexicon for Persian](https://mlsanity.com/paper/1911.05263/) (2019)
- [Jointly Modeling Aspect and Polarity for Aspect-based Sentiment Analysis in Persian Reviews](https://mlsanity.com/paper/2109.07680/) (2021)
- [Tehran Stock Exchange Prediction Using Sentiment Analysis of Online Textual Opinions](https://mlsanity.com/paper/1909.03792/) (2019)
- [A novel approach to sentiment analysis in Persian using discourse and external semantic information](https://mlsanity.com/paper/2007.09495/) (2020)

## Built on by (most cited first, 2 of 2)

- [Opinion mining using Double Channel CNN for Recommender System](https://mlsanity.com/paper/2307.07798/) (2023)
- [PABSA: Hybrid Framework for Persian Aspect-Based Sentiment Analysis](https://mlsanity.com/paper/2510.04291/) (2025)

## Abstract (arXiv)

Sentiment analysis aims to extract people's emotions and opinion from their comments on the web. It widely used in businesses to detect sentiment in social data, gauge brand reputation, and understand customers. Most of articles in this area have concentrated on the English language whereas there are limited resources for Persian language. In this review paper, recent published articles between 2018 and 2022 in sentiment analysis in Persian Language have been collected and their methods, approach and dataset will be explained and analyzed. Almost all the methods used to solve sentiment analysis are machine learning and deep learning. The purpose of this paper is to examine 40 different approach sentiment analysis in the Persian Language, analysis datasets along with the accuracy of the algorithms applied to them and also review strengths and weaknesses of each. Among all the methods, transformers such as BERT and RNN Neural Networks such as LSTM and Bi-LSTM have achieved higher accuracy in the sentiment analysis. In addition to the methods and approaches, the datasets reviewed are listed between 2018 and 2022 and information about each dataset and its details are provided.