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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 101–125 of 630 papers

TitleStatusHype
Attentive Gated Lexicon Reader with Contrastive Contextual Co-Attention for Sentiment Classification—0
AUEB-ABSA at SemEval-2016 Task 5: Ensembles of Classifiers and Embeddings for Aspect Based Sentiment Analysis—0
Approaches for Sentiment Analysis on Twitter: A State-of-Art study—0
Automatically Annotating A Five-Billion-Word Corpus of Japanese Blogs for Affect and Sentiment Analysis—0
Automatically Building a Corpus for Sentiment Analysis on Indonesian Tweets—0
Automatically Detecting and Attributing Indirect Quotations—0
Automatic Analysis of Scientific and Literary Texts. Presentation and Results of the DEFT2014 Text Mining Challenge (Analyse automatique de textes litt\'eraires et scientifiques : pr\'esentation et r\'esultats du d\'efi fouille de texte DEFT2014) [in French]—0
Automatic extraction of contextual valence shifters.—0
Automatic Extraction of Polar Adjectives for the Creation of Polarity Lexicons—0
Automatic Hashtag Recommendation for Microblogs using Topic-Specific Translation Model—0
Automatic Identification of Arabic Language Varieties and Dialects in Social Media—0
Automatic Keyphrase Extraction: A Survey of the State of the Art—0
A Vector Space Approach for Aspect Based Sentiment Analysis—0
AWATIF: A Multi-Genre Corpus for Modern Standard Arabic Subjectivity and Sentiment Analysis—0
A Weakly Supervised Model for Sentence-Level Semantic Orientation Analysis with Multiple Experts—0
`Aye' or `No'? Speech-level Sentiment Analysis of Hansard UK Parliamentary Debate Transcripts—0
Back up your Stance: Recognizing Arguments in Online Discussions—0
A Knowledge-Driven Approach to Classifying Object and Attribute Coreferences in Opinion Mining—0
Benchmarking Twitter Sentiment Analysis Tools—0
Benefactive/Malefactive Event and Writer Attitude Annotation—0
A Joint Sentiment-Target-Stance Model for Stance Classification in Tweets—0
Bi-directional Inter-dependencies of Subjective Expressions and Targets and their Value for a Joint Model—0
An Opinion Mining of Text in COVID-19 Issues along with Comparative Study in ML, BERT & RNN—0
Bilingual Experiments on an Opinion Comparable Corpus—0
A deep-learning framework to detect sarcasm targets—0
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