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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 451–475 of 630 papers

TitleStatusHype
Sentiment Analyzer with Rich Features for Ironic and Sarcastic Tweets—0
Sentiment and Belief: How to Think about, Represent, and Annotate Private States—0
Sentiment-Aspect Extraction based on Restricted Boltzmann Machines—0
Sentiment Classification in Swahili Language Using Multilingual BERT—0
Sentiment Classification of Arabic Documents: Experiments with multi-type features and ensemble algorithms—0
Sentiment Classification towards Question-Answering with Hierarchical Matching Network—0
Sentiment Lexicon Interpolation and Polarity Estimation of Objective and Out-Of-Vocabulary Words to Improve Sentiment Classification on Microblogging—0
SentiSys at SemEval-2016 Task 5: Opinion Target Extraction and Sentiment Polarity Detection—0
SentiTel: TABSA for Twitter reviews on Uganda Telecoms—0
Sentiue: Target and Aspect based Sentiment Analysis in SemEval-2015 Task 12—0
SI-LSTM: Speaker Hybrid Long-short Term Memory and Cross Modal Attention for Emotion Recognition in Conversation—0
Simple, Robust and (almost) Unsupervised Generation of Polarity Lexicons for Multiple Languages—0
Simultaneous Feature Selection and Parameter Optimization Using Multi-objective Optimization for Sentiment Analysis—0
SINAI: Syntactic Approach for Aspect-Based Sentiment Analysis—0
SINAI: Voting System for Aspect Based Sentiment Analysis—0
SINAI: Voting System for Twitter Sentiment Analysis—0
SocialIrony—0
SocialVisTUM: An Interactive Visualization Toolkit for Correlated Neural Topic Models on Social Media Opinion Mining—0
Some Issues on the Normalization of a Corpus of Products Reviews in Portuguese—0
Some Pragmatic Prevention's Guidelines regarding SARS-CoV-2 and COVID-19 in Latin-America inspired by mixed Machine Learning Techniques and Artificial Mathematical Intelligence. Case Study: Colombia—0
SpanAlign: Efficient Sequence Tagging Annotation Projection into Translated Data applied to Cross-Lingual Opinion Mining—0
SpanMlt: A Span-based Multi-Task Learning Framework for Pair-wise Aspect and Opinion Terms Extraction—0
Squibs: Evaluation Methods for Statistically Dependent Text—0
SSN MLRG1 at SemEval-2018 Task 3: Irony Detection in English Tweets Using MultiLayer Perceptron—0
SSN-SPARKS at SemEval-2019 Task 9: Mining Suggestions from Online Reviews using Deep Learning Techniques on Augmented Data—0
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