SOTAVerified

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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 501–550 of 630 papers

TitleStatusHype
Thematic Cohesion: measuring terms discriminatory power toward themes—0
The New Eye of Government: Citizen Sentiment Analysis in Social Media—0
The NewSoMe Corpus: A Unifying Opinion Annotation Framework across Genres and in Multiple Languages—0
The UniTN Discourse Parser in CoNLL 2015 Shared Task: Token-level Sequence Labeling with Argument-specific Models—0
The USAGE review corpus for fine grained multi lingual opinion analysis—0
Thread Specific Features are Helpful for Identifying Subjectivity Orientation of Online Forum Threads—0
THU\_NGN at IJCNLP-2017 Task 2: Dimensional Sentiment Analysis for Chinese Phrases with Deep LSTM—0
TJP: Using Twitter to Analyze the Polarity of Contexts—0
TJUdeM: A Combination Classifier for Aspect Category Detection and Sentiment Polarity Classification—0
Topic Modeling with Sentiment Clues and Relaxed Labeling Schema—0
TOTEMSS: Topic-based, Temporal Sentiment Summarisation for Twitter—0
Toward a Corpus of Cantonese Verbal Comments and their Classification by Multi-dimensional Analysis—0
Toward a unifying model for Opinion, Sentiment and Emotion information extraction—0
Toward Pan-Slavic NLP: Some Experiments with Language Adaptation—0
Towards a Lexicon-grammar based Framework for NLP: an Opinion Mining Application—0
Towards Cross-Domain PDTB-Style Discourse Parsing—0
Towards Opinion Mining from Reviews for the Prediction of Product Rankings—0
Towards segment-based recognition of argumentation structure in short texts—0
Towards Shared Datasets for Normalization Research—0
Toward Stance Classification Based on Claim Microstructures—0
Towards the Extraction of Customer-to-Customer Suggestions from Reviews—0
Tracing Linguistic Relations in Winning and Losing Sides of Explicit Opposing Groups—0
Trainable Citation-enhanced Summarization of Scientific Articles—0
Training Neural Networks for Aspect Extraction Using Descriptive Keywords Only—0
Transductive Adaptation of Black Box Predictions—0
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
Show:102550
← PrevPage 11 of 13Next →

No leaderboard results yet.