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 3001–3050 of 5630 papers

Title	Date	Tasks	Status	Hype
A Knowledge Regularized Hierarchical Approach for Emotion Cause Analysis	Nov 1, 2019	Emotion Cause ExtractionReading Comprehension	—Unverified	0
A deep-learning framework to detect sarcasm targets	Nov 1, 2019	Aspect-Based Sentiment AnalysisAspect-Based Sentiment Analysis (ABSA)	—Unverified	0
LexicalAT: Lexical-Based Adversarial Reinforcement Training for Robust Sentiment Classification	Nov 1, 2019	ClassificationDiversity	—Unverified	0
A Robust Self-Learning Framework for Cross-Lingual Text Classification	Nov 1, 2019	ClassificationGeneral Classification	—Unverified	0
Efficient Feature Selection techniques for Sentiment Analysis	Nov 1, 2019	BIG-bench Machine Learningfeature selection	—Unverified	0
Multi-Task Stance Detection with Sentiment and Stance Lexicons	Nov 1, 2019	Sentiment AnalysisSentiment Classification	—Unverified	0
Investigating Dynamic Routing in Tree-Structured LSTM for Sentiment Analysis	Nov 1, 2019	SentenceSentiment Analysis	—Unverified	0
Multilingual Model Using Cross-Task Embedding Projection	Nov 1, 2019	Cross-Lingual Word Embeddingsmodel	—Unverified	0
Towards a Unified End-to-End Approach for Fully Unsupervised Cross-Lingual Sentiment Analysis	Nov 1, 2019	Cross-Lingual Word EmbeddingsSentiment Analysis	—Unverified	0
Aspect-Level Sentiment Analysis Via Convolution over Dependency Tree	Nov 1, 2019	Representation LearningSentence	—Unverified	0
To Annotate or Not? Predicting Performance Drop under Domain Shift	Nov 1, 2019	General ClassificationPOS	—Unverified	0
A Challenge Dataset and Effective Models for Aspect-Based Sentiment Analysis	Nov 1, 2019	Aspect-Based Sentiment AnalysisAspect-Based Sentiment Analysis (ABSA)	CodeCode Available	0
Multi-Level Sentiment Analysis of PolEmo 2.0: Extended Corpus of Multi-Domain Consumer Reviews	Nov 1, 2019	SentenceSentiment Analysis	—Unverified	0
Capsule Network with Interactive Attention for Aspect-Level Sentiment Classification	Nov 1, 2019	ClassificationGeneral Classification	—Unverified	0
Slang Detection and Identification	Nov 1, 2019	SentenceSentiment Analysis	—Unverified	0
Cost-Sensitive BERT for Generalisable Sentence Classification on Imbalanced Data	Nov 1, 2019	ClassificationData Augmentation	—Unverified	0
Improving Multi-label Emotion Classification by Integrating both General and Domain-specific Knowledge	Nov 1, 2019	Emotion ClassificationGeneral Classification	—Unverified	0
Natural Language Generation for Effective Knowledge Distillation	Nov 1, 2019	Knowledge DistillationLinguistic Acceptability	CodeCode Available	0
An Ensemble of Humour, Sarcasm, and Hate Speechfor Sentiment Classification in Online Reviews	Nov 1, 2019	General ClassificationSentiment Analysis	—Unverified	0
A Comparative Analysis of Unsupervised Language Adaptation Methods	Nov 1, 2019	Natural Language InferenceSentence	—Unverified	0
Confident Learning: Estimating Uncertainty in Dataset Labels	Oct 31, 2019	Learning with noisy labelsSentiment Analysis	CodeCode Available	0
Transferable End-to-End Aspect-based Sentiment Analysis with Selective Adversarial Learning	Oct 31, 2019	Aspect-Based Sentiment AnalysisAspect-Based Sentiment Analysis (ABSA)	CodeCode Available	0
Machine Translation of Restaurant Reviews: New Corpus for Domain Adaptation and Robustness	Oct 31, 2019	Domain AdaptationMachine Translation	—Unverified	0
Predicting Discourse Structure using Distant Supervision from Sentiment	Oct 30, 2019	Discourse ParsingMultiple Instance Learning	—Unverified	0
Understand customer reviews with less data and in short time: pretrained language representation and active learning	Oct 29, 2019	Active LearningBIG-bench Machine Learning	—Unverified	0
Weakly-Supervised Deep Learning for Domain Invariant Sentiment Classification	Oct 29, 2019	ClassificationDeep Learning	—Unverified	0
An Efficient Model for Sentiment Analysis of Electronic Product Reviews in Vietnamese	Oct 29, 2019	General ClassificationMarketing	—Unverified	0
A Game Theoretic Approach to Class-wise Selective Rationalization	Oct 28, 2019	counterfactualSentiment Analysis	CodeCode Available	0
Word-level Textual Adversarial Attacking as Combinatorial Optimization	Oct 27, 2019	Adversarial AttackCombinatorial Optimization	CodeCode Available	0
Sentiment Analysis for Arabic in Social Media Network: A Systematic Mapping Study	Oct 26, 2019	Arabic Sentiment AnalysisSentiment Analysis	—Unverified	0
Mockingjay: Unsupervised Speech Representation Learning with Deep Bidirectional Transformer Encoders	Oct 25, 2019	General ClassificationRepresentation Learning	CodeCode Available	0
Selective Attention Based Graph Convolutional Networks for Aspect-Level Sentiment Classification	Oct 24, 2019	General ClassificationSentence	—Unverified	0
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer	Oct 23, 2019	Answer GenerationCommon Sense Reasoning	CodeCode Available	2
Human-Like Decision Making: Document-level Aspect Sentiment Classification via Hierarchical Reinforcement Learning	Oct 21, 2019	Decision MakingGeneral Classification	—Unverified	0
Improving Sequence Modeling Ability of Recurrent Neural Networks via Sememes	Oct 20, 2019	Adversarial AttackLanguage Modeling	CodeCode Available	0
An Intelligent Data Analysis for Hotel Recommendation Systems using Machine Learning	Oct 15, 2019	BIG-bench Machine LearningCollaborative Filtering	—Unverified	0
Going Negative Online? -- A Study of Negative Advertising on Social Media	Oct 14, 2019	Data VisualizationSentiment Analysis	—Unverified	0
Q8BERT: Quantized 8Bit BERT	Oct 14, 2019	Linguistic AcceptabilityNatural Language Inference	CodeCode Available	1
SmokEng: Towards Fine-grained Classification of Tobacco-related Social Media Text	Oct 12, 2019	ClassificationGeneral Classification	CodeCode Available	0
Sentiment Analysis from Images of Natural Disasters	Oct 10, 2019	Sentiment Analysis	—Unverified	0
Perturbation Sensitivity Analysis to Detect Unintended Model Biases	Oct 9, 2019	modelSensitivity	—Unverified	0
Assessing the Efficacy of Clinical Sentiment Analysis and Topic Extraction in Psychiatric Readmission Risk Prediction	Oct 9, 2019	Decision MakingSentiment Analysis	—Unverified	0
SentiCite: An Approach for Publication Sentiment Analysis	Oct 7, 2019	Sentiment Analysis	—Unverified	0
Soft-Label Dataset Distillation and Text Dataset Distillation	Oct 6, 2019	Dataset DistillationData Summarization	CodeCode Available	1
Fine-grained Sentiment Classification using BERT	Oct 4, 2019	Chinese Sentiment AnalysisClassification	CodeCode Available	0
DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter	Oct 2, 2019	Hate Speech DetectionKnowledge Distillation	CodeCode Available	1
The merits of Universal Language Model Fine-tuning for Small Datasets -- a case with Dutch book reviews	Oct 2, 2019	ClassificationGeneral Classification	CodeCode Available	0
Exploiting BERT for End-to-End Aspect-based Sentiment Analysis	Oct 2, 2019	Aspect-Based Sentiment AnalysisAspect-Based Sentiment Analysis (ABSA)	CodeCode Available	1
Improved Word Sense Disambiguation Using Pre-Trained Contextualized Word Representations	Oct 1, 2019	named-entity-recognitionNamed Entity Recognition	CodeCode Available	0
Machine Translation for Machines: the Sentiment Classification Use Case	Oct 1, 2019	ClassificationGeneral Classification	—Unverified	0

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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