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Opinion Mining

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

Papers

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Showing 271–280 of 630 papers

TitleStatusHype
Capturing Stance Dynamics in Social Media: Open Challenges and Research Directions—0
Generating Subjective Responses to Opinionated Articles in Social Media: An Agenda-Driven Architecture and a Turing-Like Test—0
Generating Polarity Lexicons with WordNet propagation in 5 languages—0
CAN-GRU: a Hierarchical Model for Emotion Recognition in Dialogue—0
Generating Abbreviations for Chinese Named Entities Using Recurrent Neural Network with Dynamic Dictionary—0
General Purpose Textual Sentiment Analysis and Emotion Detection Tools—0
Calling to CNN-LSTM for Rumor Detection: A Deep Multi-channel Model for Message Veracity Classification in Microblogs—0
GetSmartMSEC at SemEval-2022 Task 6: Sarcasm Detection using Contextual Word Embedding with Gaussian model for Irony Type Identification—0
Global Inference for Aspect and Opinion Terms Co-Extraction Based on Multi-Task Neural Networks—0
An Opinion Mining of Text in COVID-19 Issues along with Comparative Study in ML, BERT & RNN—0
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