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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 251–275 of 630 papers

TitleStatusHype
TwiSe at SemEval-2017 Task 4: Five-point Twitter Sentiment Classification and Quantification—0
Deep Learning Models For Multiword Expression Identification—0
CrystalNest at SemEval-2017 Task 4: Using Sarcasm Detection for Enhancing Sentiment Classification and Quantification—0
BUSEM at SemEval-2017 Task 4A Sentiment Analysis with Word Embedding and Long Short Term Memory RNN Approaches—0
OMAM at SemEval-2017 Task 4: English Sentiment Analysis with Conditional Random Fields—0
ASDA : Analyseur Syntaxique du Dialecte Algérien dans un but d'analyse sémantique—0
Determining sentiment in citation text and analyzing its impact on the proposed ranking index—0
SuperAgent: A Customer Service Chatbot for E-commerce Websites—0
JaTeCS an open-source JAva TExt Categorization System—0
Active learning in annotating micro-blogs dealing with e-reputationCode0
Twitter Topic Modeling by Tweet Aggregation—0
Ultra-Concise Multi-genre Summarisation of Web2.0: towards Intelligent Content Generation—0
A Characterization Study of Arabic Twitter Data with a Benchmarking for State-of-the-Art Opinion Mining Models—0
CAT: Credibility Analysis of Arabic Content on Twitter—0
Toward Pan-Slavic NLP: Some Experiments with Language Adaptation—0
Aspect Extraction from Product Reviews Using Category Hierarchy Information—0
Large-scale Opinion Relation Extraction with Distantly Supervised Neural Network—0
A Multi-View Sentiment Corpus—0
Contextual Bidirectional Long Short-Term Memory Recurrent Neural Network Language Models: A Generative Approach to Sentiment Analysis—0
TDParse: Multi-target-specific sentiment recognition on Twitter—0
Opinion Mining on Non-English Short Text—0
Tracing Linguistic Relations in Winning and Losing Sides of Explicit Opposing Groups—0
Studying Positive Speech on Twitter—0
Sentiment Analysis of Arabic Tweets Using Semantic Resources—0
Replication issues in syntax-based aspect extraction for opinion miningCode0
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