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 1751–1775 of 5630 papers

Title	Date	Tasks	Status
PQLM -- Multilingual Decentralized Portable Quantum Language Model for Privacy Protection	Oct 6, 2022	Language ModelingLanguage Modelling	—Unverified
Improving Sentiment Analysis By Emotion Lexicon Approach on Vietnamese Texts	Oct 5, 2022	ClassificationSentiment Analysis	CodeCode Available
Sentiment Analysis of ESG disclosures on Stock Market	Oct 3, 2022	ArticlesSentiment Analysis	—Unverified
BRCC and SentiBahasaRojak: The First Bahasa Rojak Corpus for Pretraining and Sentiment Analysis Dataset	Oct 1, 2022	Data AugmentationSentiment Analysis	—Unverified
Biographically Relevant Tweets – a New Dataset, Linguistic Analysis and Classification Experiments	Oct 1, 2022	ClassificationSentiment Analysis	—Unverified
标签先验知识增强的方面类别情感分析方法研究(Aspect-Category based Sentiment Analysis Enhanced by Label Prior Knowledge)	Oct 1, 2022	Sentiment Analysis	—Unverified
Span Extraction Aided Improved Code-mixed Sentiment Classification	Oct 1, 2022	ClassificationMulti-Task Learning	CodeCode Available
SSP-Based Construction of Evaluation-Annotated Data for Fine-Grained Aspect-Based Sentiment Analysis	Oct 1, 2022	Aspect-Based Sentiment AnalysisAspect-Based Sentiment Analysis (ABSA)	—Unverified
KC-ISA: An Implicit Sentiment Analysis Model Combining Knowledge Enhancement and Context Features	Oct 1, 2022	Common Sense ReasoningSentiment Analysis	CodeCode Available
Longitudinal Sentiment Analyses for Radicalization Research: Intertemporal Dynamics on Social Media Platforms and their Implications	Oct 1, 2022	Sentiment Analysis	—Unverified
Linguistically Motivated Features for Classifying Shorter Text into Fiction and Non-Fiction Genre	Oct 1, 2022	ClassificationPOS	CodeCode Available
Automatic Identification of 5C Vaccine Behaviour on Social Media	Oct 1, 2022	Sentiment Analysis	—Unverified
Sentiment Interpretable Logic Tensor Network for Aspect-Term Sentiment Analysis	Oct 1, 2022	Computational EfficiencyKnowledge Distillation	—Unverified
Emotion Enriched Retrofitted Word Embeddings	Oct 1, 2022	Sarcasm DetectionSentiment Analysis	—Unverified
Leveraging Semantic and Sentiment Knowledge for User-Generated Text Sentiment Classification	Oct 1, 2022	ClassificationDecision Making	—Unverified
Measuring Robustness for NLP	Oct 1, 2022	Machine TranslationSentiment Analysis	—Unverified
面向情感分析的汉语构式语料库构建与应用研究—对汉语构式情感分析问题的思考(A Study of Chinese Construction Corpus Compilation and Application for Sentiment Analysis: A Discussion of Sentiment)	Oct 1, 2022	Sentiment Analysis	—Unverified
One-Teacher and Multiple-Student Knowledge Distillation on Sentiment Classification	Oct 1, 2022	Ensemble LearningKnowledge Distillation	CodeCode Available
Analyzing Coreference and Bridging in Product Reviews	Oct 1, 2022	Aspect-Based Sentiment AnalysisAspect-Based Sentiment Analysis (ABSA)	—Unverified
Learnable Dependency-based Double Graph Structure for Aspect-based Sentiment Analysis	Oct 1, 2022	Aspect-Based Sentiment AnalysisAspect-Based Sentiment Analysis (ABSA)	—Unverified
Modeling Aspect Correlation for Aspect-based Sentiment Analysis via Recurrent Inverse Learning Guidance	Oct 1, 2022	Aspect-Based Sentiment AnalysisAspect-Based Sentiment Analysis (ABSA)	—Unverified
Fraunhofer SIT@SMM4H’22: Learning to Predict Stances and Premises in Tweets related to COVID-19 Health Orders Using Generative Models	Oct 1, 2022	Sentiment Analysis	—Unverified
基于异构用户知识融合的隐式情感分析研究(Research on Implicit Sentiment Analysis based on Heterogeneous User Knowledge Fusion)	Oct 1, 2022	Sentiment Analysis	—Unverified
AMOA: Global Acoustic Feature Enhanced Modal-Order-Aware Network for Multimodal Sentiment Analysis	Oct 1, 2022	Contrastive LearningMultimodal Sentiment Analysis	—Unverified
Composition-based Heterogeneous Graph Multi-channel Attention Network for Multi-aspect Multi-sentiment Classification	Oct 1, 2022	Aspect-Based Sentiment AnalysisAspect-Based Sentiment Analysis (ABSA)	CodeCode Available

Show:10 25 50

← PrevPage 71 of 226Next →

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