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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 401–450 of 630 papers

TitleStatusHype
Idioms-Proverbs Lexicon for Modern Standard Arabic and Colloquial Sentiment Analysis—0
Identifying Prominent Arguments in Online Debates Using Semantic Textual Similarity—0
Combining Argument Mining Techniques—0
Extracting Argument and Domain Words for Identifying Argument Components in Texts—0
From Argumentation Mining to Stance Classification—0
A Vector Space Approach for Aspect Based Sentiment Analysis—0
Sentiue: Target and Aspect based Sentiment Analysis in SemEval-2015 Task 12—0
ValenTo: Sentiment Analysis of Figurative Language Tweets with Irony and Sarcasm—0
ECNU: Extracting Effective Features from Multiple Sequential Sentences for Target-dependent Sentiment Analysis in Reviews—0
NLANGP: Supervised Machine Learning System for Aspect Category Classification and Opinion Target Extraction—0
SWASH: A Naive Bayes Classifier for Tweet Sentiment Identification—0
TJUdeM: A Combination Classifier for Aspect Category Detection and Sentiment Polarity Classification—0
SINAI: Syntactic Approach for Aspect-Based Sentiment Analysis—0
DIEGOLab: An Approach for Message-level Sentiment Classification in Twitter—0
Entity/Event-Level Sentiment Detection and Inference—0
Sentiment analysis on conversational texts—0
MPQA 3.0: An Entity/Event-Level Sentiment Corpus—0
Review Mining for Feature Based Opinion Summarization and Visualization—0
Book Reviews: Web Corpus Construction by Roland Sch\"afer and Felix Bildhauer—0
Representation Learning for Aspect Category Detection in Online Reviews—0
Roman Urdu Opinion Mining System (RUOMiS)—0
Construction of Vietnamese SentiWordNet by using Vietnamese Dictionary—0
Sentiment Lexicon Interpolation and Polarity Estimation of Objective and Out-Of-Vocabulary Words to Improve Sentiment Classification on Microblogging—0
Automatically Building a Corpus for Sentiment Analysis on Indonesian Tweets—0
Word-level Language Identification in Bi-lingual Code-switched Texts—0
Determing Trustworthiness in E-Commerce Customer Reviews—0
Opinion mining of text documents written in Macedonian language—0
Experiments to Improve Named Entity Recognition on Turkish Tweets—0
A Scalable, Lexicon Based Technique for Sentiment Analysis—0
A Large Scale Arabic Sentiment Lexicon for Arabic Opinion Mining—0
Tunisian dialect Wordnet creation and enrichment using web resources and other Wordnets—0
Joint Emotion Analysis via Multi-task Gaussian Processes—0
Opinion Mining with Deep Recurrent Neural Networks—0
Vote Prediction on Comments in Social Polls—0
+/-EffectWordNet: Sense-level Lexicon Acquisition for Opinion Inference—0
Why are You Taking this Stance? Identifying and Classifying Reasons in Ideological Debates—0
A Sentiment-aligned Topic Model for Product Aspect Rating Prediction—0
Positive Unlabeled Learning for Deceptive Reviews Detection—0
Polarity detection movie reviews in hindi language—0
Opinion mining of movie reviews at document level—0
3arif: A Corpus of Modern Standard and Egyptian Arabic Tweets Annotated for Epistemic Modality Using Interactive Crowdsourcing—0
Discovering Topical Aspects in Microblogs—0
Reducing Over-Weighting in Supervised Term Weighting for Sentiment Analysis—0
A Generative Model for Identifying Target Companies of Microblogs—0
Chinese Irony Corpus Construction and Ironic Structure Analysis—0
Part of Speech Tagging for French Social Media Data—0
SocialIrony—0
Automatic Identification of Arabic Language Varieties and Dialects in Social Media—0
A Rule-Based Approach to Aspect Extraction from Product Reviews—0
NILC\_USP: Aspect Extraction using Semantic Labels—0
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