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

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Showing 5501–5550 of 5630 papers

Title	Date	Tasks	Status
Crowdsourcing for Beyond Polarity Sentiment Analysis A Pure Emotion Lexicon	Oct 4, 2017	DiversitySentiment Analysis	CodeCode Available
Interpretable multimodal sentiment analysis based on textual modality descriptions by using large-scale language models	May 7, 2023	Multimodal Sentiment AnalysisSentiment Analysis	CodeCode Available
UW-FinSent at SemEval-2017 Task 5: Sentiment Analysis on Financial News Headlines using Training Dataset Augmentation	Aug 1, 2017	Data Augmentationregression	CodeCode Available
Cross-Cultural Similarity Features for Cross-Lingual Transfer Learning of Pragmatically Motivated Tasks	Jun 16, 2020	Cross-Lingual TransferDependency Parsing	CodeCode Available
Multimodal Sentiment Analysis To Explore the Structure of Emotions	May 25, 2018	Multimodal Sentiment AnalysisSentence	CodeCode Available
Interpretation of Semantic Tweet Representations	Apr 4, 2017	Feature EngineeringProperty Prediction	CodeCode Available
Multimodal Sentiment Analysis using Hierarchical Fusion with Context Modeling	Jun 16, 2018	Multimodal Emotion RecognitionMultimodal Sentiment Analysis	CodeCode Available
Interpreting Sentiment Composition with Latent Semantic Tree	Aug 31, 2023	ClassificationDomain Adaptation	CodeCode Available
A Transformer-based approach to Irony and Sarcasm detection	Nov 23, 2019	Sarcasm DetectionSentiment Analysis	CodeCode Available
Interpreting the Syntactic and Social Elements of the Tweet Representations via Elementary Property Prediction Tasks	Nov 15, 2016	Property PredictionRepresentation Learning	CodeCode Available
A Tidy Data Model for Natural Language Processing using cleanNLP	Mar 27, 2017	coreference-resolutionCoreference Resolution	CodeCode Available
Sentiment analysis in tweets: an assessment study from classical to modern text representation models	May 29, 2021	Decision MakingLanguage Modelling	CodeCode Available
Into the Unknown Unknowns: Engaged Human Learning through Participation in Language Model Agent Conversations	Aug 27, 2024	Sentiment Analysis	CodeCode Available
Rater Cohesion and Quality from a Vicarious Perspective	Aug 15, 2024	Sentiment Analysis	CodeCode Available
A Hierarchical Interactive Network for Joint Span-based Aspect-Sentiment Analysis	Aug 24, 2022	Aspect ExtractionSentiment Analysis	CodeCode Available
Multimodal Sentiment Analysis with Word-Level Fusion and Reinforcement Learning	Feb 3, 2018	Multimodal Sentiment Analysisreinforcement-learning	CodeCode Available
Introducing a Lexicon of Verbal Polarity Shifters for English	May 1, 2018	Natural Language InferenceNegation	CodeCode Available
An Evaluation of Standard Statistical Models and LLMs on Time Series Forecasting	Aug 9, 2024	Sentiment AnalysisText Generation	CodeCode Available
Speak It Out: Solving Symbol-Related Problems with Symbol-to-Language Conversion for Language Models	Jan 22, 2024	ARCProperty Prediction	CodeCode Available
Invariance Makes LLM Unlearning Resilient Even to Unanticipated Downstream Fine-Tuning	Jun 2, 2025	Machine UnlearningMath	CodeCode Available
Investigating an Effective Character-level Embedding in Korean Sentence Classification	May 31, 2019	ClassificationGeneral Classification	CodeCode Available
Investigating Capsule Networks with Dynamic Routing for Text Classification	Mar 29, 2018	ClassificationGeneral Classification	CodeCode Available
Rationalizing Neural Predictions	Jun 13, 2016	PredictionRetrieval	CodeCode Available
AlbMoRe: A Corpus of Movie Reviews for Sentiment Analysis in Albanian	Jun 14, 2023	Sentiment Analysis	CodeCode Available
Multiple Instance Learning Networks for Fine-Grained Sentiment Analysis	Nov 27, 2017	Multiple Instance LearningSentence	CodeCode Available
A thorough benchmark of automatic text classification: From traditional approaches to large language models	Apr 2, 2025	Sentiment Analysistext-classification	CodeCode Available
Multiple Source Domain Adaptation with Adversarial Training of Neural Networks	May 26, 2017	Domain AdaptationSentiment Analysis	CodeCode Available
Sentiment analysis is not solved! Assessing and probing sentiment classification	Jun 13, 2019	ClassificationGeneral Classification	CodeCode Available
The Pupil Has Become the Master: Teacher-Student Model-Based Word Embedding Distillation with Ensemble Learning	May 31, 2019	Document ClassificationEnsemble Learning	CodeCode Available
Speed Reading: Learning to Read ForBackward via Shuttle	Oct 1, 2018	Document ClassificationDocument Summarization	CodeCode Available
TextDecepter: Hard Label Black Box Attack on Text Classifiers	Aug 16, 2020	Decision MakingSentiment Analysis	CodeCode Available
Investigating the Impact of Language-Adaptive Fine-Tuning on Sentiment Analysis in Hausa Language Using AfriBERTa	Jan 19, 2025	Sentiment Analysis	CodeCode Available
Word Emotion Induction for Multiple Languages as a Deep Multi-Task Learning Problem	Jun 1, 2018	Multi-Task LearningSentiment Analysis	CodeCode Available
ArSen-20: A New Benchmark for Arabic Sentiment Detection	Apr 11, 2024	Arabic Sentiment AnalysisSentiment Analysis	CodeCode Available
A Game Theoretic Approach to Class-wise Selective Rationalization	Oct 28, 2019	counterfactualSentiment Analysis	CodeCode Available
Bringing replication and reproduction together with generalisability in NLP: Three reproduction studies for Target Dependent Sentiment Analysis	Jun 13, 2018	Sentiment Analysis	CodeCode Available
Feature Distribution Matching for Federated Domain Generalization	Mar 22, 2022	Domain AdaptationDomain Generalization	CodeCode Available
A Theoretically Grounded Application of Dropout in Recurrent Neural Networks	Dec 16, 2015	Bayesian InferenceDeep Learning	CodeCode Available
Low-Resource Language Processing: An OCR-Driven Summarization and Translation Pipeline	May 16, 2025	Abstractive Text SummarizationLanguage Modeling	CodeCode Available
Multi-Source Domain Adaptation with Mixture of Experts	Sep 7, 2018	Domain AdaptationMixture-of-Experts	CodeCode Available
Re-Assessing the "Classify and Count" Quantification Method	Nov 4, 2020	General ClassificationSentiment Analysis	CodeCode Available
ISCAS at SemEval-2022 Task 10: An Extraction-Validation Pipeline for Structured Sentiment Analysis	Jul 1, 2022	Sentiment Analysis	CodeCode Available
Multi-source Multi-domain Sentiment Analysis with BERT-based Models	Jun 1, 2022	Sentiment Analysis	CodeCode Available
Crowd-Labeling Fashion Reviews with Quality Control	Apr 5, 2018	Aspect-Based Sentiment AnalysisAspect-Based Sentiment Analysis (ABSA)	CodeCode Available
SqueezeBERT: What can computer vision teach NLP about efficient neural networks?	Jun 19, 2020	Linguistic AcceptabilityNatural Language Inference	CodeCode Available
Multi-Task Deep Neural Networks for Natural Language Understanding	Jan 31, 2019	Domain AdaptationLanguage Modeling	CodeCode Available
Sentiment Analysis of Citations Using Word2vec	Apr 1, 2017	Feature EngineeringGeneral Classification	CodeCode Available
Multi-task Learning for Cross-Lingual Sentiment Analysis	Dec 14, 2022	ArticlesFew-Shot Learning	CodeCode Available
Multitask Learning for Fine-Grained Twitter Sentiment Analysis	Jul 12, 2017	ClassificationGeneral Classification	CodeCode Available
A Syntax-Injected Approach for Faster and More Accurate Sentiment Analysis	Jun 21, 2024	Dependency ParsingSentiment Analysis	CodeCode Available

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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	T5-11B	Accuracy	97.5	—	Unverified
3	MT-DNN-SMART	Accuracy	97.5	—	Unverified
4	T5-3B	Accuracy	97.4	—	Unverified
5	MUPPET Roberta Large	Accuracy	97.4	—	Unverified
6	StructBERTRoBERTa ensemble	Accuracy	97.1	—	Unverified
7	ALBERT	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