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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 301–350 of 630 papers

TitleStatusHype
Context-Sensitive Lexicon Features for Neural Sentiment AnalysisCode0
Effective Greedy Inference for Graph-based Non-Projective Dependency Parsing—0
Generating Abbreviations for Chinese Named Entities Using Recurrent Neural Network with Dynamic Dictionary—0
Lifelong-RL: Lifelong Relaxation Labeling for Separating Entities and Aspects in Opinion Targets—0
Regularizing Text Categorization with Clusters of Words—0
Learning to Represent Review with Tensor Decomposition for Spam Detection—0
SentiHood: Targeted Aspect Based Sentiment Analysis Dataset for Urban Neighbourhoods—0
Computing Sentiment Scores of Verb Phrases for Vietnamese—0
Twitter Opinion Topic Model: Extracting Product Opinions from Tweets by Leveraging Hashtags and Sentiment Lexicon—0
A Hierarchical Model of Reviews for Aspect-based Sentiment Analysis—0
Sarcastic Soulmates: Intimacy and irony markers in social media messaging—0
Keynote - Modeling Human Communication Dynamics—0
Fill the Gap! Analyzing Implicit Premises between Claims from Online Debates—0
``What Is Your Evidence?'' A Study of Controversial Topics on Social Media—0
Modeling the Non-Substitutability of Multiword Expressions with Distributional Semantics and a Log-Linear Model—0
A Study of Suggestions in Opinionated Texts and their Automatic Detection—0
Transductive Adaptation of Black Box Predictions—0
Implicit Discourse Relation Detection via a Deep Architecture with Gated Relevance Network—0
Implicit Polarity and Implicit Aspect Recognition in Opinion Mining—0
Modeling Social Norms Evolution for Personalized Sentiment Classification—0
Suggestion Mining from Opinionated Text—0
Context-aware Argumentative Relation Mining—0
A Domain Adaptation Regularization for Denoising Autoencoders—0
Opinion Mining in Online Reviews About Distance Education Programs—0
Analysis of opinionated text for opinion mining—0
Lexical Based Semantic Orientation of Online Customer Reviews and Blogs—0
Representation learning for very short texts using weighted word embedding aggregationCode0
Making Sense of Massive Amounts of Scientific Publications: the Scientific Knowledge Miner Project—0
Implicit Aspect Detection in Restaurant Reviews using Cooccurence of Words—0
Trainable Citation-enhanced Summarization of Scientific Articles—0
Classification of comment helpfulness to improve knowledge sharing among medical practitioners.—0
IIT-TUDA at SemEval-2016 Task 5: Beyond Sentiment Lexicon: Combining Domain Dependency and Distributional Semantics Features for Aspect Based Sentiment Analysis—0
Tweester at SemEval-2016 Task 4: Sentiment Analysis in Twitter Using Semantic-Affective Model Adaptation—0
UWB at SemEval-2016 Task 7: Novel Method for Automatic Sentiment Intensity Determination—0
UWB at SemEval-2016 Task 6: Stance Detection—0
DSIC-ELIRF at SemEval-2016 Task 4: Message Polarity Classification in Twitter using a Support Vector Machine Approach—0
INF-UFRGS-OPINION-MINING at SemEval-2016 Task 6: Automatic Generation of a Training Corpus for Unsupervised Identification of Stance in Tweets—0
JU\_NLP at SemEval-2016 Task 6: Detecting Stance in Tweets using Support Vector Machines—0
TGB at SemEval-2016 Task 5: Multi-Lingual Constraint System for Aspect Based Sentiment Analysis—0
LyS at SemEval-2016 Task 4: Exploiting Neural Activation Values for Twitter Sentiment Classification and Quantification—0
MDSENT at SemEval-2016 Task 4: A Supervised System for Message Polarity Classification—0
BUTknot at SemEval-2016 Task 5: Supervised Machine Learning with Term Substitution Approach in Aspect Category Detection—0
NLANGP at SemEval-2016 Task 5: Improving Aspect Based Sentiment Analysis using Neural Network Features—0
NRU-HSE at SemEval-2016 Task 4: Comparative Analysis of Two Iterative Methods Using Quantification Library—0
SentiSys at SemEval-2016 Task 5: Opinion Target Extraction and Sentiment Polarity Detection—0
PotTS at SemEval-2016 Task 4: Sentiment Analysis of Twitter Using Character-level Convolutional Neural Networks.—0
AUEB-ABSA at SemEval-2016 Task 5: Ensembles of Classifiers and Embeddings for Aspect Based Sentiment Analysis—0
Using Data Mining Techniques for Sentiment Shifter Identification—0
DRANZIERA: An Evaluation Protocol For Multi-Domain Opinion Mining—0
Online shopping behavior study based on multi-granularity opinion mining: China vs. America—0
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