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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 251–300 of 630 papers

TitleStatusHype
Deep Learning Models For Multiword Expression Identification—0
CrystalNest at SemEval-2017 Task 4: Using Sarcasm Detection for Enhancing Sentiment Classification and Quantification—0
TwiSe at SemEval-2017 Task 4: Five-point Twitter Sentiment Classification and Quantification—0
BUSEM at SemEval-2017 Task 4A Sentiment Analysis with Word Embedding and Long Short Term Memory RNN Approaches—0
OMAM at SemEval-2017 Task 4: Evaluation of English State-of-the-Art Sentiment Analysis Models for Arabic and a New Topic-based Model—0
ASDA : Analyseur Syntaxique du Dialecte Algérien dans un but d'analyse sémantique—0
Determining sentiment in citation text and analyzing its impact on the proposed ranking index—0
SuperAgent: A Customer Service Chatbot for E-commerce Websites—0
JaTeCS an open-source JAva TExt Categorization System—0
Active learning in annotating micro-blogs dealing with e-reputationCode0
Twitter Topic Modeling by Tweet Aggregation—0
Ultra-Concise Multi-genre Summarisation of Web2.0: towards Intelligent Content Generation—0
A Characterization Study of Arabic Twitter Data with a Benchmarking for State-of-the-Art Opinion Mining Models—0
CAT: Credibility Analysis of Arabic Content on Twitter—0
Toward Pan-Slavic NLP: Some Experiments with Language Adaptation—0
Aspect Extraction from Product Reviews Using Category Hierarchy Information—0
TDParse: Multi-target-specific sentiment recognition on Twitter—0
Large-scale Opinion Relation Extraction with Distantly Supervised Neural Network—0
A Multi-View Sentiment Corpus—0
Contextual Bidirectional Long Short-Term Memory Recurrent Neural Network Language Models: A Generative Approach to Sentiment Analysis—0
Opinion Mining on Non-English Short Text—0
Tracing Linguistic Relations in Winning and Losing Sides of Explicit Opposing Groups—0
Studying Positive Speech on Twitter—0
Sentiment Analysis of Arabic Tweets Using Semantic Resources—0
Replication issues in syntax-based aspect extraction for opinion miningCode0
Fuzzy Based Implicit Sentiment Analysis on Quantitative Sentences—0
A Semantically-Based Computational Approach to Narrative Structure—0
A semantically-based approach to the annotation of narrative style—0
Monday mornings are my fave :) \#not Exploring the Automatic Recognition of Irony in English tweets—0
Distributed Representations for Building Profiles of Users and Items from Text Reviews—0
Pairwise Relation Classification with Mirror Instances and a Combined Convolutional Neural Network—0
Opinion Retrieval Systems using Tweet-external Factors—0
Leveraging Multiple Domains for Sentiment Classification—0
A Joint Sentiment-Target-Stance Model for Stance Classification in Tweets—0
Structured Aspect Extraction—0
Feature based Sentiment Analysis using a Domain Ontology—0
Opinion Mining in a Code-Mixed Environment: A Case Study with Government Portals—0
Predicting Brexit: Classifying Agreement is Better than Sentiment and Pollsters—0
Problematic Cases in the Annotation of Negation in Spanish—0
A domain-agnostic approach for opinion prediction on speechCode0
Learning to Identify Subjective Sentences—0
Selective Annotation of Sentence Parts: Identification of Relevant Sub-sentential Units—0
Sentiment Analysis of Tweets in Three Indian Languages—0
Active learning for detection of stance components—0
A graphical framework to detect and categorize diverse opinions from online news—0
ASU: An Experimental Study on Applying Deep Learning in Twitter Named Entity Recognition.—0
Character-Aware Neural Networks for Arabic Named Entity Recognition for Social Media—0
Towards Sub-Word Level Compositions for Sentiment Analysis of Hindi-English Code Mixed TextCode0
How Do I Look? Publicity Mining From Distributed Keyword Representation of Socially Infused News Articles—0
Extracting Aspect Specific Opinion Expressions—0
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