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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 201–225 of 630 papers

TitleStatusHype
BlogSet-BR: A Brazilian Portuguese Blog Corpus—0
Annotating Attribution Relations in Arabic—0
`Aye' or `No'? Speech-level Sentiment Analysis of Hansard UK Parliamentary Debate Transcripts—0
Analysis of Inferences in Chinese for Opinion Mining—0
PoSTWITA-UD: an Italian Twitter Treebank in Universal Dependencies—0
A Multi- versus a Single-classifier Approach for the Identification of Modality in the Portuguese Language—0
SenSALDO: Creating a Sentiment Lexicon for Swedish—0
Corpus Building and Evaluation of Aspect-based Opinion Summaries from Tweets in Spanish—0
Lingmotif-lex: a Wide-coverage, State-of-the-art Lexicon for Sentiment Analysis—0
Complex and Precise Movie and Book Annotations in French Language for Aspect Based Sentiment Analysis—0
Scalable Visualisation of Sentiment and Stance—0
A Deep Neural Network based Approach for Entity Extraction in Code-Mixed Indian Social Media Text—0
A Japanese Corpus for Analyzing Customer Loyalty Information—0
Structured Output Learning with Abstention: Application to Accurate Opinion Prediction—0
Discovering Bayesian Market Views for Intelligent Asset AllocationCode0
Mining Public Opinion about Economic Issues: Twitter and the U.S. Presidential Election—0
SentiPers: A Sentiment Analysis Corpus for PersianCode0
Public Apologies in India - Semantics, Sentiment and Emotion—0
Comparative Opinion Mining: A Review—0
IJCNLP-2017 Task 3: Review Opinion Diversification (RevOpiD-2017)—0
CIAL at IJCNLP-2017 Task 2: An Ensemble Valence-Arousal Analysis System for Chinese Words and Phrases—0
THU\_NGN at IJCNLP-2017 Task 2: Dimensional Sentiment Analysis for Chinese Phrases with Deep LSTM—0
Visual and Textual Sentiment Analysis Using Deep Fusion Convolutional Neural Networks—0
Extracting and Understanding Contrastive Opinion through Topic Relevant Sentences—0
Leveraging Auxiliary Tasks for Document-Level Cross-Domain Sentiment Classification—0
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