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Opinion Mining
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Identifying and categorizing opinions expressed in a piece of text, especially in order to determine whether the writer's attitude towards a particular topic, product, etc. is positive, negative, or neutral (Source: Oxford Languages)
Image Source: Deep learning for sentiment analysis: A survey
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Unleashing the Power of Neural Discourse Parsers -- A Context and Structure Aware Approach Using Large Scale Pretraining
Helping users discover perspectives: Enhancing opinion mining with joint topic models
A Knowledge-Driven Approach to Classifying Object and Attribute Coreferences in Opinion Mining
Legal Sentiment Analysis and Opinion Mining (LSAOM): Assimilating Advances in Autonomous AI Legal Reasoning
Arabic Opinion Mining Using a Hybrid Recommender System Approach
UPB at SemEval-2020 Task 9: Identifying Sentiment in Code-Mixed Social Media Texts using Transformers and Multi-Task Learning
Opinion-aware Answer Generation for Review-driven Question Answering in E-Commerce
Learning from students' perception on professors through opinion mining
Investigating the Effect of Emoji in Opinion Classification of Uzbek Movie Review Comments
Public Sentiment Toward Solar Energy: Opinion Mining of Twitter Using a Transformer-Based Language Model
BAKSA at SemEval-2020 Task 9: Bolstering CNN with Self-Attention for Sentiment Analysis of Code Mixed Text
Sentiment Analysis on Customer Responses
Stance Detection on Social Media: State of the Art and Trends
Learning Opinion Dynamics From Social Traces
Subjective Question Answering: Deciphering the inner workings of Transformers in the realm of subjectivity
Stance in Replies and Quotes (SRQ): A New Dataset For Learning Stance in Twitter Conversations
SANA : Sentiment Analysis on Newspapers comments in Algeria
Detecting Group Beliefs Related to 2018's Brazilian Elections in Tweets A Combined Study on Modeling Topics and Sentiment Analysis
A Multi-modal Approach to Fine-grained Opinion Mining on Video Reviews
Fine-grained Financial Opinion Mining: A Survey and Research Agenda
Leveraging Foreign Language Labeled Data for Aspect-Based Opinion Mining
Snippext: Semi-supervised Opinion Mining with Augmented Data
ARAACOM: ARAbic Algerian Corpus for Opinion Mining
A Heterogeneous Graphical Model to Understand User-Level Sentiments in Social Media
Sentiment Analysis of German Twitter
Sentiment Analysis On Indian Indigenous Languages: A Review On Multilingual Opinion Mining
Weakly Supervised Attention Networks for Fine-Grained Opinion Mining and Public Health
Improving the Explainability of Neural Sentiment Classifiers via Data Augmentation
Leveraging Just a Few Keywords for Fine-Grained Aspect Detection Through Weakly Supervised Co-Training
Cross-domain Aspect Category Transfer and Detection via Traceable Heterogeneous Graph Representation Learning
From the Token to the Review: A Hierarchical Multimodal approach to Opinion Mining
Performance Evaluation of Supervised Machine Learning Techniques for Efficient Detection of Emotions from Online Content
Confirmatory Aspect-based Opinion Mining Processes
Citizens' Emotion on GST: A Spatio-Temporal Analysis over Twitter Data
OutdoorSent: Sentiment Analysis of Urban Outdoor Images by Using Semantic and Deep Features
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