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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 526–550 of 630 papers

TitleStatusHype
Transferring Coreference Resolvers with Posterior Regularization—0
Tunisian dialect Wordnet creation and enrichment using web resources and other Wordnets—0
Tweester at SemEval-2016 Task 4: Sentiment Analysis in Twitter Using Semantic-Affective Model Adaptation—0
TwiSe at SemEval-2017 Task 4: Five-point Twitter Sentiment Classification and Quantification—0
Twitter Opinion Topic Model: Extracting Product Opinions from Tweets by Leveraging Hashtags and Sentiment Lexicon—0
Twitter Topic Modeling by Tweet Aggregation—0
Ultra-Concise Multi-genre Summarisation of Web2.0: towards Intelligent Content Generation—0
UMCC\_DLSI: A Probabilistic Automata for Aspect Based Sentiment Analysis—0
Understanding engagement with insurgents through retweet rhetoric—0
UNITOR: Aspect Based Sentiment Analysis with Structured Learning—0
UNITOR: Combining Semantic Text Similarity functions through SV Regression—0
Unleashing the Power of Neural Discourse Parsers -- A Context and Structure Aware Approach Using Large Scale Pretraining—0
Unleashing the Power of Neural Discourse Parsers - A Context and Structure Aware Approach Using Large Scale Pretraining—0
Unsupervised Detection of Argumentative Units though Topic Modeling Techniques—0
Unsupervised Topic-Specific Domain Dependency Graphs for Aspect Identification in Sentiment Analysis—0
UPB at SemEval-2020 Task 9: Identifying Sentiment in Code-Mixed Social Media Texts using Transformers and Multi-Task Learning—0
Using Data Mining Techniques for Sentiment Shifter Identification—0
Using Entity Relations for Opinion Mining of Vietnamese Comments—0
Using Hadoop for Large Scale Analysis on Twitter: A Technical Report—0
Using PU-Learning to Detect Deceptive Opinion Spam—0
Using Self-Organizing Maps for Sentiment Analysis—0
Using Skipgrams, Bigrams, and Part of Speech Features for Sentiment Classification of Twitter Messages—0
UWB at SemEval-2016 Task 6: Stance Detection—0
UWB at SemEval-2016 Task 7: Novel Method for Automatic Sentiment Intensity Determination—0
ValenTo: Sentiment Analysis of Figurative Language Tweets with Irony and Sarcasm—0
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