Sentiment Analysis

Sentiment Analysis is the task of classifying the polarity of a given text. For instance, a text-based tweet can be categorized into either "positive", "negative", or "neutral". Given the text and accompanying labels, a model can be trained to predict the correct sentiment.

Sentiment Analysis techniques can be categorized into machine learning approaches, lexicon-based approaches, and even hybrid methods. Some subcategories of research in sentiment analysis include: multimodal sentiment analysis, aspect-based sentiment analysis, fine-grained opinion analysis, language specific sentiment analysis.

More recently, deep learning techniques, such as RoBERTa and T5, are used to train high-performing sentiment classifiers that are evaluated using metrics like F1, recall, and precision. To evaluate sentiment analysis systems, benchmark datasets like SST, GLUE, and IMDB movie reviews are used.

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 1401–1450 of 5630 papers

Title	Date	Tasks	Status	Score
Cross-Lingual Sentiment Quantification	Apr 16, 2019	Cross-Lingual Sentiment ClassificationGeneral Classification	CodeCode Available	5
Detection of Word Adversarial Examples in NLP: Benchmark and Baseline via Robust Density Estimation	Jan 16, 2022	Adversarial DefenseDensity Estimation	CodeCode Available	5
Differential Privacy Has Disparate Impact on Model Accuracy	May 28, 2019	Gender ClassificationGeneral Classification	CodeCode Available	5
Arabic Multi-Dialect Segmentation: bi-LSTM-CRF vs. SVM	Aug 19, 2017	Domain AdaptationInformation Retrieval	CodeCode Available	5
Multilingual aspect clustering for sentiment analysis	Dec 9, 2019	Aspect-Based Sentiment AnalysisAspect-Based Sentiment Analysis (ABSA)	CodeCode Available	5
Multilingual Auxiliary Tasks Training: Bridging the Gap between Languages for Zero-Shot Transfer of Hate Speech Detection Models	Oct 24, 2022	Cross-Lingual TransferHate Speech Detection	CodeCode Available	5
DepecheMood++: a Bilingual Emotion Lexicon Built Through Simple Yet Powerful Techniques	Oct 8, 2018	Emotion RecognitionSentiment Analysis	CodeCode Available	5
Adapting Deep Learning for Sentiment Classification of Code-Switched Informal Short Text	Jan 4, 2020	ClassificationGeneral Classification	CodeCode Available	5
Dependency Sensitive Convolutional Neural Networks for Modeling Sentences and Documents	Nov 8, 2016	ClassificationGeneral Classification	CodeCode Available	5
Detection of Adversarial Examples in NLP: Benchmark and Baseline via Robust Density Estimation	Nov 16, 2021	Adversarial DefenseDensity Estimation	CodeCode Available	5
DINER: Debiasing Aspect-based Sentiment Analysis with Multi-variable Causal Inference	Mar 2, 2024	Aspect-Based Sentiment AnalysisAspect-Based Sentiment Analysis (ABSA)	CodeCode Available	5
Defense of Word-level Adversarial Attacks via Random Substitution Encoding	May 1, 2020	General ClassificationSentiment Analysis	CodeCode Available	5
Deep Unordered Composition Rivals Syntactic Methods for Text Classification	Jul 1, 2015	ClassificationGeneral Classification	CodeCode Available	5
Multimodal Review Generation with Privacy and Fairness Awareness	Dec 1, 2020	FairnessReview Generation	CodeCode Available	5
Multimodal Sentiment Analysis using Hierarchical Fusion with Context Modeling	Jun 16, 2018	Multimodal Emotion RecognitionMultimodal Sentiment Analysis	CodeCode Available	5
Multimodal Sentiment Analysis with Word-Level Fusion and Reinforcement Learning	Feb 3, 2018	Multimodal Sentiment Analysisreinforcement-learning	CodeCode Available	5
An Interpretable and Uncertainty Aware Multi-Task Framework for Multi-Aspect Sentiment Analysis	Sep 18, 2020	Extract AspectMulti-Task Learning	CodeCode Available	5
Multiple Source Domain Adaptation with Adversarial Training of Neural Networks	May 26, 2017	Domain AdaptationSentiment Analysis	CodeCode Available	5
Analysis of the Evolution of Advanced Transformer-Based Language Models: Experiments on Opinion Mining	Aug 7, 2023	Emotion RecognitionOpinion Mining	CodeCode Available	5
Aicyber at SemEval-2016 Task 4: i-vector based sentence representation	Jun 1, 2016	SentenceSentiment Analysis	CodeCode Available	5
Multi-source Multi-domain Sentiment Analysis with BERT-based Models	Jun 1, 2022	Sentiment Analysis	CodeCode Available	5
Multi-Task Deep Neural Networks for Natural Language Understanding	Jan 31, 2019	Domain AdaptationLanguage Modeling	CodeCode Available	5
Can citations tell us about a paper's reproducibility? A case study of machine learning papers	May 7, 2024	Sentiment Analysis	CodeCode Available	5
Delta-training: Simple Semi-Supervised Text Classification using Pretrained Word Embeddings	Jan 22, 2019	General ClassificationSemi-Supervised Text Classification	CodeCode Available	5
CS-UM6P at SemEval-2022 Task 6: Transformer-based Models for Intended Sarcasm Detection in English and Arabic	Jun 16, 2022	Author ProfilingOpinion Mining	CodeCode Available	5
Can ChatGPT's Responses Boost Traditional Natural Language Processing?	Jul 6, 2023	Language ModelingLanguage Modelling	CodeCode Available	5
Deep Pyramid Convolutional Neural Networks for Text Categorization	Jul 1, 2017	Sentiment AnalysisSentiment Classification	CodeCode Available	5
Multi-View Attention Syntactic Enhanced Graph Convolutional Network for Aspect-based Sentiment Analysis	Jan 27, 2025	Aspect-Based Sentiment AnalysisAspect-Based Sentiment Analysis (ABSA)	CodeCode Available	5
Deep Learning with Eigenvalue Decay Regularizer	Apr 24, 2016	ClassificationDeep Learning	CodeCode Available	5
Deep Learning for Sentiment Analysis : A Survey	Jan 24, 2018	BIG-bench Machine LearningDeep Learning	CodeCode Available	5
CUE: An Uncertainty Interpretation Framework for Text Classifiers Built on Pre-Trained Language Models	Jun 6, 2023	Emotion ClassificationLinguistic Acceptability	CodeCode Available	5
Advancing Arabic Sentiment Analysis: ArSen Benchmark and the Improved Fuzzy Deep Hybrid Network	Nov 15, 2024	Arabic Sentiment AnalysisSentiment Analysis	CodeCode Available	5
Deep Neural Networks for Bot Detection	Feb 12, 2018	General ClassificationSentiment Analysis	CodeCode Available	5
Denoising Bottleneck with Mutual Information Maximization for Video Multimodal Fusion	May 24, 2023	DenoisingMultimodal Sentiment Analysis	CodeCode Available	5
Natural Language Processing and Sentiment Analysis on Bangla Social Media Comments on Russia–Ukraine War Using Transformers	May 4, 2023	Hyperparameter OptimizationSentiment Analysis	CodeCode Available	5
Natural Language Processing for Music Knowledge Discovery	Jul 6, 2018	Graph GenerationSentiment Analysis	CodeCode Available	5
Curriculum CycleGAN for Textual Sentiment Domain Adaptation with Multiple Sources	Nov 17, 2020	Domain AdaptationGenerative Adversarial Network	CodeCode Available	5
Deep Learning-Based Sentiment Analysis of COVID-19 Vaccination Responses from Twitter Data	Aug 26, 2022	Sentiment Analysis	CodeCode Available	5
Neural Structural Correspondence Learning for Domain Adaptation	Oct 5, 2016	DenoisingDomain Adaptation	CodeCode Available	5
NeuroCounterfactuals: Beyond Minimal-Edit Counterfactuals for Richer Data Augmentation	Oct 22, 2022	counterfactualData Augmentation	CodeCode Available	5
Deep Emotions Across Languages: A Novel Approach for Sentiment Propagation in Multilingual WordNets	Dec 7, 2023	Sentiment Analysis	CodeCode Available	5
Deep Learning Brasil at ABSAPT 2022: Portuguese Transformer Ensemble Approaches	Nov 8, 2023	Aspect-Based Sentiment AnalysisAspect-Based Sentiment Analysis (ABSA)	CodeCode Available	5
NILC-USP at SemEval-2017 Task 4: A Multi-view Ensemble for Twitter Sentiment Analysis	Apr 7, 2017	General ClassificationSentiment Analysis	CodeCode Available	5
Deep Content Understanding Toward Entity and Aspect Target Sentiment Analysis on Foundation Models	Jul 4, 2024	Aspect-Based Sentiment AnalysisAspect-Based Sentiment Analysis (ABSA)	CodeCode Available	5
NLPGuard: A Framework for Mitigating the Use of Protected Attributes by NLP Classifiers	Jul 1, 2024	Occupation predictionSentiment Analysis	CodeCode Available	5
DAdEE: Unsupervised Domain Adaptation in Early Exit PLMs	Oct 6, 2024	Domain AdaptationKnowledge Distillation	CodeCode Available	5
Deciphering Political Entity Sentiment in News with Large Language Models: Zero-Shot and Few-Shot Strategies	Apr 5, 2024	ArticlesIn-Context Learning	CodeCode Available	5
Deciphering public attention to geoengineering and climate issues using machine learning and dynamic analysis	May 11, 2024	ArticlesSentiment Analysis	CodeCode Available	5
Asymmetric feature interaction for interpreting model predictions	May 12, 2023	modelSentiment Analysis	CodeCode Available	5
Deep Learning for Hate Speech Detection in Tweets	Jun 1, 2017	16kDeep Learning	CodeCode Available	5

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All datasets SST-2 Binary classification IMDb SST-5 Fine-grained classification Yelp Binary classification MR Yelp Fine-grained classification BanglaBook DynaSent SST-3 Sentiment Merged User and product information Amazon Review Full

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	Word+ES (Scratch)	Attack Success Rate	100	—	Unverified
2	MT-DNN-SMART	Accuracy	97.5	—	Unverified
3	T5-11B	Accuracy	97.5	—	Unverified
4	MUPPET Roberta Large	Accuracy	97.4	—	Unverified
5	T5-3B	Accuracy	97.4	—	Unverified
6	ALBERT	Accuracy	97.1	—	Unverified
7	StructBERTRoBERTa ensemble	Accuracy	97.1	—	Unverified
8	XLNet (single model)	Accuracy	97	—	Unverified
9	SMARTRoBERTa	Dev Accuracy	96.9	—	Unverified
10	ELECTRA	Accuracy	96.9	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	RoBERTa-large with LlamBERT	Accuracy	96.68	—	Unverified
2	RoBERTa-large	Accuracy	96.54	—	Unverified
3	XLNet	Accuracy	96.21	—	Unverified
4	Heinsen Routing + RoBERTa Large	Accuracy	96.2	—	Unverified
5	RoBERTa-large 355M + Entailment as Few-shot Learner	Accuracy	96.1	—	Unverified
6	GraphStar	Accuracy	96	—	Unverified
7	DV-ngrams-cosine with NB sub-sampling + RoBERTa.base	Accuracy	95.94	—	Unverified
8	DV-ngrams-cosine + RoBERTa.base	Accuracy	95.92	—	Unverified
9	Roberta_Large ST + Cosine Similarity Loss	Accuracy	95.9	—	Unverified
10	BERT large finetune UDA	Accuracy	95.8	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Llama-3.3-70B + CAPO	Accuracy	62.27	—	Unverified
2	Mistral-Small-24B + CAPO	Accuracy	60.2	—	Unverified
3	Heinsen Routing + RoBERTa Large	Accuracy	59.8	—	Unverified
4	RoBERTa-large+Self-Explaining	Accuracy	59.1	—	Unverified
5	Qwen2.5-32B + CAPO	Accuracy	59.07	—	Unverified
6	Heinsen Routing + GPT-2	Accuracy	58.5	—	Unverified
7	BCN+Suffix BiLSTM-Tied+CoVe	Accuracy	56.2	—	Unverified
8	BERT Large	Accuracy	55.5	—	Unverified
9	LM-CPPF RoBERTa-base	Accuracy	54.9	—	Unverified
10	BCN+ELMo	Accuracy	54.7	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Char-level CNN	Error	4.88	—	Unverified
2	SVDCNN	Error	4.74	—	Unverified
3	LEAM	Error	4.69	—	Unverified
4	fastText, h=10, bigram	Error	4.3	—	Unverified
5	SWEM-hier	Error	4.19	—	Unverified
6	SRNN	Error	3.96	—	Unverified
7	M-ACNN	Error	3.89	—	Unverified
8	DNC+CUW	Error	3.6	—	Unverified
9	CCCapsNet	Error	3.52	—	Unverified
10	Block-sparse LSTM	Error	3.27	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Millions of Emoji	Training Time	1,500	—	Unverified
2	VLAWE	Accuracy	93.3	—	Unverified
3	RoBERTa-large 355M + Entailment as Few-shot Learner	Accuracy	92.5	—	Unverified
4	AnglE-LLaMA-7B	Accuracy	91.09	—	Unverified
5	byte mLSTM7	Accuracy	86.8	—	Unverified
6	MEAN	Accuracy	84.5	—	Unverified
7	RNN-Capsule	Accuracy	83.8	—	Unverified
8	Capsule-B	Accuracy	82.3	—	Unverified
9	SuBiLSTM-Tied	Accuracy	81.6	—	Unverified
10	USE_T+CNN	Accuracy	81.59	—	Unverified