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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 31–40 of 630 papers

TitleStatusHype
A Case Study and Qualitative Analysis of Simple Cross-Lingual Opinion MiningCode0
DataSEARCH at IEST 2018: Multiple Word Embedding based Models for Implicit Emotion Classification of Tweets with Deep LearningCode0
Enhancing Opinion Role Labeling with Semantic-Aware Word Representations from Semantic Role LabelingCode0
Context-Sensitive Lexicon Features for Neural Sentiment AnalysisCode0
Can Large Language Models be Effective Online Opinion Miners?Code0
Cross-domain Aspect Category Transfer and Detection via Traceable Heterogeneous Graph Representation LearningCode0
A Study of fastText Word Embedding Effects in Document Classification in Bangla LanguageCode0
Constructing Colloquial Dataset for Persian Sentiment Analysis of Social MicroblogsCode0
An Uncertainty-Aware Encoder for Aspect DetectionCode0
Analysis of Climate Campaigns on Social Media using Bayesian Model AveragingCode0
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