mlsanityData to 7 Oct 2026

Jointly Modeling Aspect and Polarity for Aspect-based Sentiment Analysis in Persian Reviews

arXiv 2109.07680 ↗First posted 16 Sep 2021cs.CL cs.AIcited by 4

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Abstract (arXiv)

Identification of user's opinions from natural language text has become an exciting field of research due to its growing applications in the real world. The research field is known as sentiment analysis and classification, where aspect category detection (ACD) and aspect category polarity (ACP) are two important sub-tasks of aspect-based sentiment analysis. The goal in ACD is to specify which aspect of the entity comes up in opinion while ACP aims to specify the polarity of each aspect category from the ACD task. The previous works mostly propose separate solutions for these two sub-tasks. This paper focuses on the ACD and ACP sub-tasks to solve both problems simultaneously. The proposed method carries out multi-label classification where four different deep models were employed and comparatively evaluated to examine their performance. A dataset of Persian reviews was collected from CinemaTicket website including 2200 samples from 14 categories. The developed models were evaluated using the collected dataset in terms of example-based and label-based metrics. The results indicate the high applicability and preference of the CNN and GRU models in comparison to LSTM and Bi-LSTM.

Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). Builds on 11 of its 49 references that are in the map. First posted on arXiv 16 Sep 2021.

Builds on

11 of 49 references.

References · 11

  1. 2014Convolutional Neural Networks for Sentence Classificationcited by 1,124
  2. 2017Interactive Attention Networks for Aspect-Level Sentiment Classificationcited by 91
  3. 2016Aspect Level Sentiment Classification with Deep Memory Networkcited by 82
  4. 2017Comparative Study of CNN and RNN for Natural Language Processingcited by 81
  5. 2018Aspect Based Sentiment Analysis with Gated Convolutional Networkscited by 65
  6. 2020Sentiment Analysis Based on Deep Learning: A Comparative Studycited by 37
  7. 2020Stacked Bidirectional and Unidirectional LSTM Recurrent Neural Network for Forecasting Network-wide Traffic State with Missing Valuescited by 32
  8. 2018Aspect Level Sentiment Classification with Attention-over-Attention Neural Networkscited by 24
  9. 2019Syntax-Aware Aspect-Level Sentiment Classification with Proximity-Weighted Convolution Networkcited by 14
  10. 2019Aspect Category Detection via Topic-Attention Networkcited by 13
  11. 2016Sentiment/Subjectivity Analysis Survey for Languages other than Englishcited by 2

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Cited by year

Citing papers per year: 2022: 2; 2023: 1; 2024: 1.

4 papers.

  1. 2022Sentiment Analysis of Persian Language: Review of Algorithms, Approaches and Datasetscited by 2
  2. 2023Constructing Colloquial Dataset for Persian Sentiment Analysis of Social Microblogscited by 2
  3. 2024PRFashion24: A Dataset for Sentiment Analysis of Fashion Products Reviews in Persiancited by 1
  4. 2022A Deep Convolutional Neural Networks Based Multi-Task Ensemble Model for Aspect and Polarity Classification in Persian Reviewscited by 0