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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 276–300 of 630 papers

TitleStatusHype
Genre Independent Subgroup Detection in Online Discussion Threads: A Study of Implicit Attitude using Textual Latent Semantics—0
Geolocation differences of language use in urban areas—0
GetSmartMSEC at SemEval-2022 Task 6: Sarcasm Detection using Contextual Word Embedding with Gaussian model for Irony Type Identification—0
Global Inference for Aspect and Opinion Terms Co-Extraction Based on Multi-Task Neural Networks—0
Grammatical structures for word-level sentiment detection—0
GU-MLT-LT: Sentiment Analysis of Short Messages using Linguistic Features and Stochastic Gradient Descent—0
Harmonization of German Lexical Resources for Opinion Mining—0
HashCount at SemEval-2018 Task 3: Concatenative Featurization of Tweet and Hashtags for Irony Detection—0
Hashtag Occurrences, Layout and Translation: A Corpus-driven Analysis of Tweets Published by the Canadian Government—0
Helping users discover perspectives: Enhancing opinion mining with joint topic models—0
Holaaa!! writin like u talk is kewl but kinda hard 4 NLP—0
Hope and Fear: How Opinions Influence Factuality—0
How Do I Look? Publicity Mining From Distributed Keyword Representation of Socially Infused News Articles—0
How to Evaluate Opinionated Keyphrase Extraction?—0
Hybrid Models for Aspects Extraction without Labelled Dataset—0
Identification of emotions on Twitter during the 2022 electoral process in Colombia—0
Identifying Opinion Subgroups in Arabic Online Discussions—0
Identifying Prominent Arguments in Online Debates Using Semantic Textual Similarity—0
Identifying Sentiment Words Using an Optimization-based Model without Seed Words—0
Idioms-Proverbs Lexicon for Modern Standard Arabic and Colloquial Sentiment Analysis—0
IITP: Supervised Machine Learning for Aspect based Sentiment Analysis—0
IIT-TUDA at SemEval-2016 Task 5: Beyond Sentiment Lexicon: Combining Domain Dependency and Distributional Semantics Features for Aspect Based Sentiment Analysis—0
IJCNLP-2017 Task 3: Review Opinion Diversification (RevOpiD-2017)—0
Implicit Aspect Detection in Restaurant Reviews using Cooccurence of Words—0
Financial Opinion Mining—0
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