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Persian Sentiment Analysis

Persian Sentiment analysis is the task of classifying the polarity of a given text.

Papers

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Showing 1–13 of 13 papers

TitleStatusHype
ParsiNLU: A Suite of Language Understanding Challenges for PersianCode1
DeepSentiPers: Novel Deep Learning Models Trained Over Proposed Augmented Persian Sentiment CorpusCode1
Constructing Colloquial Dataset for Persian Sentiment Analysis of Social MicroblogsCode0
A Deep Convolutional Neural Networks Based Multi-Task Ensemble Model for Aspect and Polarity Classification in Persian ReviewsCode0
A Novel Approach for Enhancing Sentiment Classification of Persian Reviews Using Convolutional Neural Network and Majority Voting ClassifierCode0
Sentiment-Driven Community Detection in a Network of Perfume PreferencesCode0
Jointly Modeling Aspect and Polarity for Aspect-based Sentiment Analysis in Persian ReviewsCode0
Exploiting Deep Learning for Persian Sentiment Analysis—0
A Novel Context-Aware Multimodal Framework for Persian Sentiment Analysis—0
A Survey on sentiment analysis in Persian: A Comprehensive System Perspective Covering Challenges and Advances in Resources, and Methods—0
A Hybrid Persian Sentiment Analysis Framework: Integrating Dependency Grammar Based Rules and Deep Neural Networks—0
Optimizing Annotation Effort Using Active Learning Strategies: A Sentiment Analysis Case Study in Persian—0
Persian Sentiment Analyzer: A Framework based on a Novel Feature Selection Method—0
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