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Subjectivity Analysis

A related task to sentiment analysis is the subjectivity analysis with the goal of labeling an opinion as either subjective or objective.

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 11–20 of 63 papers

Title	Date	Tasks	Status	Hype
Building a fine-grained subjectivity lexicon from a web corpus	May 1, 2012	Sentiment AnalysisSubjectivity Analysis	—Unverified	0
BUSEM at SemEval-2017 Task 4A Sentiment Analysis with Word Embedding and Long Short Term Memory RNN Approaches	Aug 1, 2017	ClassificationGeneral Classification	—Unverified	0
bwbaugh : Hierarchical sentiment analysis with partial self-training	Jun 1, 2013	Sentiment AnalysisSubjectivity Analysis	—Unverified	0
Contextual Bidirectional Long Short-Term Memory Recurrent Neural Network Language Models: A Generative Approach to Sentiment Analysis	Apr 1, 2017	Decision MakingDimensionality Reduction	—Unverified	0
AMI\&ERIC: How to Learn with Naive Bayes and Prior Knowledge: an Application to Sentiment Analysis	Jun 1, 2013	Opinion MiningSentiment Analysis	—Unverified	0
Connotation in Translation	Sep 1, 2015	Machine TranslationOpinion Mining	—Unverified	0
Concreteness and Subjectivity as Dimensions of Lexical Meaning	Jun 1, 2014	Sentiment AnalysisSubjectivity Analysis	—Unverified	0
Creating and Evaluating Resources for Sentiment Analysis in the Low-resource Language: Sindhi	Apr 1, 2021	Sentiment AnalysisSubjectivity Analysis	—Unverified	0
Complex and Precise Movie and Book Annotations in French Language for Aspect Based Sentiment Analysis	May 1, 2018	Aspect-Based Sentiment AnalysisAspect-Based Sentiment Analysis (ABSA)	—Unverified	0
Collocation Polarity Disambiguation Using Web-based Pseudo Contexts	Jul 1, 2012	Question AnsweringSentiment Analysis	—Unverified	0

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All datasets SUBJ Czech Subjectivity Dataset

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	RoBERTa+DualCL	Accuracy	97.34	—	Unverified
2	BERT-Base + CLR + LSTM	Accuracy	97.3	—	Unverified
3	RoBERTa-large 355M + Entailment as Few-shot Learner	Accuracy	97.1	—	Unverified
4	BERT-Base + LSTM	Accuracy	96.6	—	Unverified
5	AdaSent	Accuracy	95.5	—	Unverified
6	VLAWE	Accuracy	95	—	Unverified
7	CNN+MCFA	Accuracy	94.8	—	Unverified
8	byte mLSTM7	Accuracy	94.7	—	Unverified
9	Byte mLSTM	Accuracy	94.6	—	Unverified
10	USE	Accuracy	93.9	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	XLM-R-Large	Accuracy	93.56	—	Unverified
2	RobeCzech	Accuracy	93.29	—	Unverified
3	Czert-B	Accuracy	92.85	—	Unverified
4	Czech Electra	Accuracy	91.85	—	Unverified
5	mBERT	Accuracy	91.23	—	Unverified