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 501–550 of 5630 papers

Title	Date	Tasks	Status	Hype
Decision Stream: Cultivating Deep Decision Trees	Apr 25, 2017	Classificationfeature selection	CodeCode Available	1
Emergence of Grounded Compositional Language in Multi-Agent Populations	Mar 15, 2017	Machine TranslationQuestion Answering	CodeCode Available	1
A Structured Self-attentive Sentence Embedding	Mar 9, 2017	Author ProfilingGeneral Classification	CodeCode Available	1
ATR4S: Toolkit with State-of-the-art Automatic Terms Recognition Methods in Scala	Nov 23, 2016	Information RetrievalMachine Translation	CodeCode Available	1
Sentiment Analysis of Twitter Data for Predicting Stock Market Movements	Oct 28, 2016	Sentiment AnalysisStock Market Prediction	CodeCode Available	1
Bag of Tricks for Efficient Text Classification	Jul 6, 2016	CPUEmotion Recognition in Conversation	CodeCode Available	1
MOSI: Multimodal Corpus of Sentiment Intensity and Subjectivity Analysis in Online Opinion Videos	Jun 20, 2016	Sentiment AnalysisSubjectivity Analysis	CodeCode Available	1
Adversarial Training Methods for Semi-Supervised Text Classification	May 25, 2016	ClassificationGeneral Classification	CodeCode Available	1
Character-level Convolutional Networks for Text Classification	Sep 4, 2015	General ClassificationSentiment Analysis	CodeCode Available	1
Domain-Adversarial Training of Neural Networks	May 28, 2015	Domain AdaptationDomain Generalization	CodeCode Available	1
Convolutional Neural Networks for Sentence Classification	Aug 25, 2014	Emotion Recognition in ConversationGeneral Classification	CodeCode Available	1
Good Debt or Bad Debt: Detecting Semantic Orientations in Economic Texts	Jul 19, 2013	SentenceSentiment Analysis	CodeCode Available	1
Behavioral Factors in Interactive Training of Text Classifiers	Jun 1, 2012	BIG-bench Machine LearningSentiment Analysis	CodeCode Available	1
Closing the Loop: Fast, Interactive Semi-Supervised Annotation With Queries on Features and Instances	Jul 1, 2011	Active LearningInformation Extraction	CodeCode Available	1
Cross-Lingual Adaptation using Structural Correspondence Learning	Aug 4, 2010	ClassificationDomain Adaptation	CodeCode Available	1
AdaptiSent: Context-Aware Adaptive Attention for Multimodal Aspect-Based Sentiment Analysis	Jul 17, 2025	Aspect-Based Sentiment AnalysisSentiment Analysis	—Unverified	0
DCR: Quantifying Data Contamination in LLMs Evaluation	Jul 15, 2025	Arithmetic ReasoningBenchmarking	CodeCode Available	0
AI Wizards at CheckThat! 2025: Enhancing Transformer-Based Embeddings with Sentiment for Subjectivity Detection in News Articles	Jul 15, 2025	ArticlesSentence	CodeCode Available	0
SentiDrop: A Multi Modal Machine Learning model for Predicting Dropout in Distance Learning	Jul 14, 2025	Feature ImportanceSentiment Analysis	—Unverified	0
GNN-CNN: An Efficient Hybrid Model of Convolutional and Graph Neural Networks for Text Representation	Jul 10, 2025	Graph GenerationSentiment Analysis	CodeCode Available	0
FINN-GL: Generalized Mixed-Precision Extensions for FPGA-Accelerated LSTMs	Jun 25, 2025	Sentiment AnalysisStock Prediction	—Unverified	0
Unpacking Generative AI in Education: Computational Modeling of Teacher and Student Perspectives in Social Media Discourse	Jun 19, 2025	Sentiment Analysis	—Unverified	0
Characterizing Linguistic Shifts in Croatian News via Diachronic Word Embeddings	Jun 16, 2025	ArticlesDiachronic Word Embeddings	CodeCode Available	0
A Multi-Agent Probabilistic Inference Framework Inspired by Kairanban-Style CoT System with IdoBata Conversation for Debiasing	Jun 12, 2025	DiversityPrediction	—Unverified	0
Analyzing Emotions in Bangla Social Media Comments Using Machine Learning and LIME	Jun 11, 2025	Emotion RecognitionSentiment Analysis	—Unverified	0
Advancing Exchange Rate Forecasting: Leveraging Machine Learning and AI for Enhanced Accuracy in Global Financial Markets	Jun 11, 2025	Sentiment Analysis	—Unverified	0
AraReasoner: Evaluating Reasoning-Based LLMs for Arabic NLP	Jun 10, 2025	BenchmarkingSentiment Analysis	—Unverified	0
Quantum Graph Transformer for NLP Sentiment Classification	Jun 9, 2025	ClassificationLanguage Modeling	—Unverified	0
How do datasets, developers, and models affect biases in a low-resourced language?	Jun 7, 2025	Sentiment Analysis	—Unverified	0
Artificial Intelligence and Civil Discourse: How LLMs Moderate Climate Change Conversations	Jun 7, 2025	Sentiment Analysis	—Unverified	0
CAtCh: Cognitive Assessment through Cookie Thief	Jun 7, 2025	Multimodal Sentiment AnalysisPrediction	CodeCode Available	0
Reasoning or Overthinking: Evaluating Large Language Models on Financial Sentiment Analysis	Jun 5, 2025	Sentiment AnalysisSentiment Classification	—Unverified	0
Sentiment Analysis in Learning Management Systems Understanding Student Feedback at Scale	Jun 5, 2025	feature selectionManagement	—Unverified	0
Invariance Makes LLM Unlearning Resilient Even to Unanticipated Downstream Fine-Tuning	Jun 2, 2025	Machine UnlearningMath	CodeCode Available	0
FinBERT2: A Specialized Bidirectional Encoder for Bridging the Gap in Finance-Specific Deployment of Large Language Models	May 31, 2025	AvgRAG	—Unverified	0
Multi-Domain ABSA Conversation Dataset Generation via LLMs for Real-World Evaluation and Model Comparison	May 30, 2025	Aspect-Based Sentiment AnalysisAspect-Based Sentiment Analysis (ABSA)	—Unverified	0
MMAFFBen: A Multilingual and Multimodal Affective Analysis Benchmark for Evaluating LLMs and VLMs	May 30, 2025	Emotion ClassificationSentiment Analysis	CodeCode Available	0
Predicting Human Depression with Hybrid Data Acquisition utilizing Physical Activity Sensing and Social Media Feeds	May 28, 2025	Activity RecognitionSentiment Analysis	—Unverified	0
Sentiment Simulation using Generative AI Agents	May 28, 2025	Sentiment Analysis	—Unverified	0
The Role of Diversity in In-Context Learning for Large Language Models	May 26, 2025	DiversityIn-Context Learning	—Unverified	0
Analyzing Political Bias in LLMs via Target-Oriented Sentiment Classification	May 26, 2025	SentenceSentiment Analysis	—Unverified	0
Hermes@DravidianLangTech 2025: Sentiment Analysis of Dravidian Languages using XLM-RoBERTa	May 25, 2025	Sentiment Analysis	CodeCode Available	0
CrosGrpsABS: Cross-Attention over Syntactic and Semantic Graphs for Aspect-Based Sentiment Analysis in a Low-Resource Language	May 25, 2025	Aspect-Based Sentiment AnalysisAspect-Based Sentiment Analysis (ABSA)	—Unverified	0
Improving Bangla Linguistics: Advanced LSTM, Bi-LSTM, and Seq2Seq Models for Translating Sylheti to Modern Bangla	May 24, 2025	Fake News DetectionSentiment Analysis	—Unverified	0
Task Specific Pruning with LLM-Sieve: How Many Parameters Does Your Task Really Need?	May 23, 2025	Medical Question AnsweringQuantization	—Unverified	0
Can AI Read Between The Lines? Benchmarking LLMs On Financial Nuance	May 22, 2025	BenchmarkingPrompt Engineering	—Unverified	0
An Empirical Study on Configuring In-Context Learning Demonstrations for Unleashing MLLMs' Sentimental Perception Capability	May 22, 2025	In-Context LearningMultimodal Sentiment Analysis	—Unverified	0
On Multilingual Encoder Language Model Compression for Low-Resource Languages	May 22, 2025	Knowledge DistillationLanguage Modeling	—Unverified	0
Omni TM-AE: A Scalable and Interpretable Embedding Model Using the Full Tsetlin Machine State Space	May 22, 2025	Semantic SimilaritySemantic Textual Similarity	—Unverified	0
LLaMAs Have Feelings Too: Unveiling Sentiment and Emotion Representations in LLaMA Models Through Probing	May 22, 2025	Sentiment Analysis	—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