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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 501–525 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
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