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 5201–5250 of 5630 papers

Title	Date	Tasks	Status
Understanding Public Opinion on Using Hydroxychloroquine for COVID-19 Treatment via Social Media	Jan 1, 2022	DescriptiveSentiment Analysis	CodeCode Available
Hierarchical Attention Networks for Document Classification	Jun 1, 2016	Citation Intent ClassificationClassification	CodeCode Available
Hierarchical Attention Transfer Network for Cross-Domain Sentiment Classification	Apr 26, 2018	ClassificationCross-Domain Text Classification	CodeCode Available
Dependency Sensitive Convolutional Neural Networks for Modeling Sentences and Documents	Nov 8, 2016	ClassificationGeneral Classification	CodeCode Available
A Systematic Comparison of Architectures for Document-Level Sentiment Classification	Feb 19, 2020	ClassificationDocument Classification	CodeCode Available
A Multi-Task Incremental Learning Framework with Category Name Embedding for Aspect-Category Sentiment Analysis	Oct 6, 2020	Aspect Category Sentiment AnalysisDecoder	CodeCode Available
tagE: Enabling an Embodied Agent to Understand Human Instructions	Oct 24, 2023	DecoderNatural Language Understanding	CodeCode Available
Sequence Classification with Human Attention	Oct 1, 2018	Abusive LanguageClassification	CodeCode Available
Sequence Labeling Approach to the Task of Sentence Boundary Detection	Jan 20, 2020	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available
Hindi/Bengali Sentiment Analysis Using Transfer Learning and Joint Dual Input Learning with Self Attention	Feb 11, 2022	Sentiment AnalysisTransfer Learning	CodeCode Available
A Simple Ensemble Strategy for LLM Inference: Towards More Stable Text Classification	Apr 26, 2025	Sentiment Analysistext-classification	CodeCode Available
A Simple Approach to Multilingual Polarity Classification in Twitter	Dec 15, 2016	ClassificationGeneral Classification	CodeCode Available
Token Sequence Labeling vs. Clause Classification for English Emotion Stimulus Detection	Oct 15, 2020	ClassificationGeneral Classification	CodeCode Available
DepecheMood++: a Bilingual Emotion Lexicon Built Through Simple Yet Powerful Techniques	Oct 8, 2018	Emotion RecognitionSentiment Analysis	CodeCode Available
Denoising Bottleneck with Mutual Information Maximization for Video Multimodal Fusion	May 24, 2023	DenoisingMultimodal Sentiment Analysis	CodeCode Available
Sequence Learning Using Equilibrium Propagation	Sep 14, 2022	Natural Language InferenceSentiment Analysis	CodeCode Available
Adopting Two Supervisors for Efficient Use of Large-Scale Remote Deep Neural Networks	Apr 5, 2023	image-classificationImage Classification	CodeCode Available
Historical Ink: Exploring Large Language Models for Irony Detection in 19th-Century Spanish	Mar 28, 2025	Binary ClassificationSentiment Analysis	CodeCode Available
CL-XABSA: Contrastive Learning for Cross-lingual Aspect-based Sentiment Analysis	Apr 2, 2022	Aspect-Based Sentiment AnalysisAspect-Based Sentiment Analysis (ABSA)	CodeCode Available
Clustering Word Embeddings with Self-Organizing Maps. Application on LaRoSeDa -- A Large Romanian Sentiment Data Set	Jan 11, 2021	ClusteringSentiment Analysis	CodeCode Available
Meme Analysis using LLM-based Contextual Information and U-net Encapsulated Transformer	Jul 8, 2024	Sentiment Analysis	CodeCode Available
Delta-training: Simple Semi-Supervised Text Classification using Pretrained Word Embeddings	Jan 22, 2019	General ClassificationSemi-Supervised Text Classification	CodeCode Available
Memebusters at SemEval-2020 Task 8: Feature Fusion Model for Sentiment Analysis on Memes Using Transfer Learning	Dec 1, 2020	Sentiment AnalysisSentiment Classification	CodeCode Available
Clustering in pure-attention hardmax transformers and its role in sentiment analysis	Jun 26, 2024	Sentiment Analysis	CodeCode Available
Sequence to Sequence Coreference Resolution	Dec 1, 2020	coreference-resolutionCoreference Resolution	CodeCode Available
Negativity Spreads Faster: A Large-Scale Multilingual Twitter Analysis on the Role of Sentiment in Political Communication	Feb 1, 2022	Sentiment Analysis	CodeCode Available
A Weakly Supervised Dataset of Fine-Grained Emotions in Portuguese	Aug 17, 2021	Emotion RecognitionLanguage Modeling	CodeCode Available
ρ-hot Lexicon Embedding-based Two-level LSTM for Sentiment Analysis	Mar 21, 2018	Sentiment AnalysisSentiment Classification	CodeCode Available
Hotter and Colder: A New Approach to Annotating Sentiment, Emotions, and Bias in Icelandic Blog Comments	Feb 24, 2025	Sentiment Analysis	CodeCode Available
MemoSen: A Multimodal Dataset for Sentiment Analysis of Memes	Jun 1, 2022	Multimodal Sentiment AnalysisSentiment Analysis	CodeCode Available
An Interpretable and Uncertainty Aware Multi-Task Framework for Multi-Aspect Sentiment Analysis	Sep 18, 2020	Extract AspectMulti-Task Learning	CodeCode Available
YNU-HPCC at SemEval-2020 Task 8: Using a Parallel-Channel Model for Memotion Analysis	Jul 28, 2020	Emotion RecognitionSentiment Analysis	CodeCode Available
ClusterDataSplit: Exploring Challenging Clustering-Based Data Splits for Model Performance Evaluation	Nov 1, 2020	ClusteringPatent classification	CodeCode Available
Trust Dynamics and Market Behavior in Cryptocurrency: A Comparative Study of Centralized and Decentralized Exchanges	Apr 26, 2024	Causal InferenceDistributed Computing	CodeCode Available
Defense of Word-level Adversarial Attacks via Random Substitution Encoding	May 1, 2020	General ClassificationSentiment Analysis	CodeCode Available
Zero- and Few-Shot Prompting with LLMs: A Comparative Study with Fine-tuned Models for Bangla Sentiment Analysis	Aug 21, 2023	In-Context LearningMarketing	CodeCode Available
Word Embeddings and Convolutional Neural Network for Arabic Sentiment Classification	Dec 1, 2016	General ClassificationSentiment Analysis	CodeCode Available
Tinjauan atas Efektivitas Penggunaan Key Opinion Leader (KOL) dalam Penjualan Surat Utang Negara Ritel seri SBR011	Aug 13, 2022	MarketingSentiment Analysis	CodeCode Available
TANGNN: a Concise, Scalable and Effective Graph Neural Networks with Top-m Attention Mechanism for Graph Representation Learning	Nov 23, 2024	Computational EfficiencyGraph Neural Network	CodeCode Available
How Emotionally Stable is ALBERT? Testing Robustness with Stochastic Weight Averaging on a Sentiment Analysis Task	Nov 18, 2021	Sentiment AnalysisSST-2	CodeCode Available
A longitudinal sentiment analysis of Sinophobia during COVID-19 using large language models	Aug 29, 2024	MisinformationSentiment Analysis	CodeCode Available
A Variational Approach to Weakly Supervised Document-Level Multi-Aspect Sentiment Classification	Apr 10, 2019	General ClassificationSentiment Analysis	CodeCode Available
How Important Is a Neuron?	May 30, 2018	feature selectionSentiment Analysis	CodeCode Available
Metaphor Detection with Cross-Lingual Model Transfer	Jun 1, 2014	Decision MakingMachine Translation	CodeCode Available
Powering Comparative Classification with Sentiment Analysis via Domain Adaptive Knowledge Transfer	Sep 7, 2021	Graph Neural NetworkQuestion Answering	CodeCode Available
CLASSP: a Biologically-Inspired Approach to Continual Learning through Adjustment Suppression and Sparsity Promotion	Apr 29, 2024	Continual LearningSentiment Analysis	CodeCode Available
Target Aware Network Architecture Search and Compression for Efficient Knowledge Transfer	May 12, 2022	Sentiment AnalysisTransfer Learning	CodeCode Available
Deep Unordered Composition Rivals Syntactic Methods for Text Classification	Jul 1, 2015	ClassificationGeneral Classification	CodeCode Available
TinyML NLP Scheme for Semantic Wireless Sentiment Classification with Privacy Preservation	Nov 9, 2024	ClassificationFederated Learning	CodeCode Available
Practical Text Classification With Large Pre-Trained Language Models	Dec 4, 2018	ClassificationEmotion Classification	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	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