SOTAVerified

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

Showing 2650 of 63 papers

TitleStatusHype
Contextual Bidirectional Long Short-Term Memory Recurrent Neural Network Language Models: A Generative Approach to Sentiment Analysis0
All-but-the-Top: Simple and Effective Postprocessing for Word RepresentationsCode0
The Evolution of Sentiment Analysis - A Review of Research Topics, Venues, and Top Cited PapersCode0
A Joint Sentiment-Target-Stance Model for Stance Classification in Tweets0
MOSI: Multimodal Corpus of Sentiment Intensity and Subjectivity Analysis in Online Opinion VideosCode1
Sentiment/Subjectivity Analysis Survey for Languages other than English0
Toward a Corpus of Cantonese Verbal Comments and their Classification by Multi-dimensional Analysis0
Sentiment Analyzer with Rich Features for Ironic and Sarcastic Tweets0
Connotation in Translation0
Open Extraction of Fine-Grained Political Statements0
Annotating Targets of Opinions in Arabic using Crowdsourcing0
From Argumentation Mining to Stance Classification0
Self-Adaptive Hierarchical Sentence ModelCode0
Summarizing Online Forum Discussions -- Can Dialog Acts of Individual Messages Help?0
UMCC\_DLSI: A Probabilistic Automata for Aspect Based Sentiment Analysis0
JU\_CSE: A Conditional Random Field (CRF) Based Approach to Aspect Based Sentiment Analysis0
Concreteness and Subjectivity as Dimensions of Lexical Meaning0
Building and Modelling Multilingual Subjective Corpora0
Iterative Constrained Clustering for Subjectivity Word Sense Disambiguation0
Exploring the Effects of Word Roots for Arabic Sentiment Analysis0
Re-embedding words0
Evaluating Text Segmentation using Boundary Edit Distance0
Sentence-Level Subjectivity Detection Using Neuro-Fuzzy Models0
RA-SR: Using a ranking algorithm to automatically building resources for subjectivity analysis over annotated corpora0
bwbaugh : Hierarchical sentiment analysis with partial self-training0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1RoBERTa+DualCLAccuracy97.34Unverified
2BERT-Base + CLR + LSTMAccuracy97.3Unverified
3RoBERTa-large 355M + Entailment as Few-shot LearnerAccuracy97.1Unverified
4BERT-Base + LSTMAccuracy96.6Unverified
5AdaSentAccuracy95.5Unverified
6VLAWEAccuracy95Unverified
7CNN+MCFAAccuracy94.8Unverified
8byte mLSTM7Accuracy94.7Unverified
9Byte mLSTMAccuracy94.6Unverified
10USEAccuracy93.9Unverified
#ModelMetricClaimedVerifiedStatus
1XLM-R-LargeAccuracy93.56Unverified
2RobeCzechAccuracy93.29Unverified
3Czert-BAccuracy92.85Unverified
4Czech ElectraAccuracy91.85Unverified
5mBERTAccuracy91.23Unverified