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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
Annotating Attribution Relations in Arabic—0
Lingmotif-lex: a Wide-coverage, State-of-the-art Lexicon for Sentiment Analysis—0
`Aye' or `No'? Speech-level Sentiment Analysis of Hansard UK Parliamentary Debate Transcripts—0
Scalable Visualisation of Sentiment and Stance—0
Corpus Building and Evaluation of Aspect-based Opinion Summaries from Tweets in Spanish—0
SenSALDO: Creating a Sentiment Lexicon for Swedish—0
Complex and Precise Movie and Book Annotations in French Language for Aspect Based Sentiment Analysis—0
A Japanese Corpus for Analyzing Customer Loyalty Information—0
BlogSet-BR: A Brazilian Portuguese Blog Corpus—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
A Deep Neural Network based Approach for Entity Extraction in Code-Mixed Indian Social Media Text—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
THU\_NGN at IJCNLP-2017 Task 2: Dimensional Sentiment Analysis for Chinese Phrases with Deep LSTM—0
CIAL at IJCNLP-2017 Task 2: An Ensemble Valence-Arousal Analysis System for Chinese Words and Phrases—0
Visual and Textual Sentiment Analysis Using Deep Fusion Convolutional Neural Networks—0
Multi-Channel Lexicon Integrated CNN-BiLSTM Models for Sentiment Analysis—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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