SOTAVerified

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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 301–350 of 630 papers

TitleStatusHype
Context-Sensitive Lexicon Features for Neural Sentiment AnalysisCode0
How Do I Look? Publicity Mining From Distributed Keyword Representation of Socially Infused News Articles—0
Extracting Aspect Specific Opinion Expressions—0
Generating Abbreviations for Chinese Named Entities Using Recurrent Neural Network with Dynamic Dictionary—0
Regularizing Text Categorization with Clusters of Words—0
Effective Greedy Inference for Graph-based Non-Projective Dependency Parsing—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
Keynote - Modeling Human Communication Dynamics—0
Sarcastic Soulmates: Intimacy and irony markers in social media messaging—0
A Domain Adaptation Regularization for Denoising Autoencoders—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
``What Is Your Evidence?'' A Study of Controversial Topics on Social Media—0
Implicit Discourse Relation Detection via a Deep Architecture with Gated Relevance Network—0
Suggestion Mining from Opinionated Text—0
Implicit Polarity and Implicit Aspect Recognition in Opinion Mining—0
Fill the Gap! Analyzing Implicit Premises between Claims from Online Debates—0
Context-aware Argumentative Relation Mining—0
Modeling Social Norms Evolution for Personalized Sentiment Classification—0
Transductive Adaptation of Black Box Predictions—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
IIT-TUDA at SemEval-2016 Task 5: Beyond Sentiment Lexicon: Combining Domain Dependency and Distributional Semantics Features for Aspect Based Sentiment Analysis—0
Trainable Citation-enhanced Summarization of Scientific Articles—0
Implicit Aspect Detection in Restaurant Reviews using Cooccurence of Words—0
INF-UFRGS-OPINION-MINING at SemEval-2016 Task 6: Automatic Generation of a Training Corpus for Unsupervised Identification of Stance in Tweets—0
DSIC-ELIRF at SemEval-2016 Task 4: Message Polarity Classification in Twitter using a Support Vector Machine Approach—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
AUEB-ABSA at SemEval-2016 Task 5: Ensembles of Classifiers and Embeddings for Aspect Based Sentiment Analysis—0
LyS at SemEval-2016 Task 4: Exploiting Neural Activation Values for Twitter Sentiment Classification and Quantification—0
Making Sense of Massive Amounts of Scientific Publications: the Scientific Knowledge Miner Project—0
MDSENT at SemEval-2016 Task 4: A Supervised System for Message Polarity Classification—0
Classification of comment helpfulness to improve knowledge sharing among medical practitioners.—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
UWB at SemEval-2016 Task 6: Stance Detection—0
NRU-HSE at SemEval-2016 Task 4: Comparative Analysis of Two Iterative Methods Using Quantification Library—0
UWB at SemEval-2016 Task 7: Novel Method for Automatic Sentiment Intensity Determination—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
Tweester at SemEval-2016 Task 4: Sentiment Analysis in Twitter Using Semantic-Affective Model Adaptation—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
Show:102550
← PrevPage 7 of 13Next →

No leaderboard results yet.