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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1–50 of 63 papers

TitleStatusHype
CAPO: Cost-Aware Prompt OptimizationCode2
EDA: Easy Data Augmentation Techniques for Boosting Performance on Text Classification TasksCode2
MOSI: Multimodal Corpus of Sentiment Intensity and Subjectivity Analysis in Online Opinion VideosCode1
Understanding the Role of Affect Dimensions in Detecting Emotions from Tweets: A Multi-task ApproachCode1
Dual Contrastive Learning: Text Classification via Label-Aware Data AugmentationCode1
Entailment as Few-Shot LearnerCode1
Universal Sentence EncoderCode1
BUSEM at SemEval-2017 Task 4A Sentiment Analysis with Word Embedding and Long Short Term Memory RNN Approaches—0
bwbaugh : Hierarchical sentiment analysis with partial self-training—0
Collocation Polarity Disambiguation Using Web-based Pseudo Contexts—0
Complex and Precise Movie and Book Annotations in French Language for Aspect Based Sentiment Analysis—0
Concreteness and Subjectivity as Dimensions of Lexical Meaning—0
Connotation in Translation—0
Contextual Bidirectional Long Short-Term Memory Recurrent Neural Network Language Models: A Generative Approach to Sentiment Analysis—0
Creating and Evaluating Resources for Sentiment Analysis in the Low-resource Language: Sindhi—0
Discourse Connectors for Latent Subjectivity in Sentiment Analysis—0
Yes we can!? Annotating English modal verbs—0
A Joint Sentiment-Target-Stance Model for Stance Classification in Tweets—0
A Labelled Dataset for Sentiment Analysis of Videos on YouTube, TikTok, and Other Sources about the 2024 Outbreak of Measles—0
AMI\&ERIC: How to Learn with Naive Bayes and Prior Knowledge: an Application to Sentiment Analysis—0
Annotating Targets of Opinions in Arabic using Crowdsourcing—0
Building a fine-grained subjectivity lexicon from a web corpus—0
Building and Modelling Multilingual Subjective Corpora—0
Open Extraction of Fine-Grained Political Statements—0
Opinion Mining on Offshore Wind Energy for Environmental Engineering—0
RA-SR: Using a ranking algorithm to automatically building resources for subjectivity analysis over annotated corpora—0
Recognizing Arguing Subjectivity and Argument Tags—0
Re-embedding words—0
Sentence-Level Subjectivity Detection Using Neuro-Fuzzy Models—0
Sentiment Analyzer with Rich Features for Ironic and Sarcastic Tweets—0
Sentiment Identification in Code-Mixed Social Media Text—0
Sentiment/Subjectivity Analysis Survey for Languages other than English—0
Summarizing Online Forum Discussions -- Can Dialog Acts of Individual Messages Help?—0
Thread Specific Features are Helpful for Identifying Subjectivity Orientation of Online Forum Threads—0
Toward a Corpus of Cantonese Verbal Comments and their Classification by Multi-dimensional Analysis—0
Toward Contextual Valence Shifters in Vietnamese Reviews—0
UMCC\_DLSI: A Probabilistic Automata for Aspect Based Sentiment Analysis—0
Evaluating Text Segmentation using Boundary Edit Distance—0
Experiments on Hybrid Corpus-Based Sentiment Lexicon Acquisition—0
Exploring the Effects of Word Roots for Arabic Sentiment Analysis—0
From Argumentation Mining to Stance Classification—0
Good, Great, Excellent: Global Inference of Semantic Intensities—0
Iterative Constrained Clustering for Subjectivity Word Sense Disambiguation—0
JU\_CSE: A Conditional Random Field (CRF) Based Approach to Aspect Based Sentiment Analysis—0
Language Independent Sentence-Level Subjectivity Analysis with Feature Selection—0
Learning Sentiment Lexicons in Spanish—0
Long-Distance Dependencies Don't Have to Be Long: Simplifying through Provably (Approximately) Optimal Permutations—0
Multilingual Natural Language Processing—0
Multi-View AdaBoost for Multilingual Subjectivity Analysis—0
Czech Dataset for Cross-lingual Subjectivity ClassificationCode0
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All datasetsSUBJCzech Subjectivity Dataset

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1RoBERTa+DualCLAccuracy97.34—Unverified
2BERT-Base + CLR + LSTMAccuracy97.3—Unverified
3RoBERTa-large 355M + Entailment as Few-shot LearnerAccuracy97.1—Unverified
4BERT-Base + LSTMAccuracy96.6—Unverified
5AdaSentAccuracy95.5—Unverified
6VLAWEAccuracy95—Unverified
7CNN+MCFAAccuracy94.8—Unverified
8byte mLSTM7Accuracy94.7—Unverified
9Byte mLSTMAccuracy94.6—Unverified
10USEAccuracy93.9—Unverified
#ModelMetricClaimedVerifiedStatus
1XLM-R-LargeAccuracy93.56—Unverified
2RobeCzechAccuracy93.29—Unverified
3Czert-BAccuracy92.85—Unverified
4Czech ElectraAccuracy91.85—Unverified
5mBERTAccuracy91.23—Unverified