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 1151–1175 of 5630 papers

Title	Date	Tasks	Status
A Multi-Source Entity-Level Sentiment Corpus for the Financial Domain: The FinLin Corpus	Mar 9, 2020	ArticlesSentiment Analysis	—Unverified
Aspect-Level Cross-lingual Sentiment Classification with Constrained SMT	Jul 1, 2015	ClassificationCross-Lingual Sentiment Classification	—Unverified
Aspect Is Not You Need: No-aspect Differential Sentiment Framework for Aspect-based Sentiment Analysis	Jul 1, 2022	Aspect-Based Sentiment AnalysisAspect-Based Sentiment Analysis (ABSA)	—Unverified
A Multi-sentiment-resource Enhanced Attention Network for Sentiment Classification	Jul 13, 2018	ClassificationGeneral Classification	—Unverified
A Dependency Parser for Tweets	Oct 1, 2014	Dependency ParsingDomain Adaptation	—Unverified
Aspect Extraction with Automated Prior Knowledge Learning	Jun 1, 2014	Aspect ExtractionSentiment Analysis	—Unverified
Aspect Extraction Using Coreference Resolution and Unsupervised Filtering	Dec 1, 2020	Aspect-Based Sentiment AnalysisAspect-Based Sentiment Analysis (ABSA)	—Unverified
A Multiplicative Model for Learning Distributed Text-Based Attribute Representations	Jun 10, 2014	AttributeAuthorship Attribution	—Unverified
Aspect Extraction through Semi-Supervised Modeling	Jul 1, 2012	Aspect-Based Sentiment Analysis (ABSA)Aspect Extraction	—Unverified
Aspect Extraction and Sentiment Classification of Mobile Apps using App-Store Reviews	Dec 9, 2017	Aspect ExtractionGeneral Classification	—Unverified
A Multimodal Sentiment Dataset for Video Recommendation	Sep 17, 2021	Multimodal Sentiment AnalysisSentiment Analysis	—Unverified
A Comparative Study of Sentiment Analysis Using NLP and Different Machine Learning Techniques on US Airline Twitter Data	Oct 2, 2021	Marketingregression	—Unverified
Confirming the Non-compositionality of Idioms for Sentiment Analysis	Aug 1, 2019	Sentiment Analysis	—Unverified
ConKI: Contrastive Knowledge Injection for Multimodal Sentiment Analysis	Jun 27, 2023	Contrastive LearningGeneral Knowledge	—Unverified
A Multimodal Framework for Topic Propagation Classification in Social Networks	Mar 5, 2025	Sentiment AnalysisSentiment Classification	—Unverified
A BERT based Sentiment Analysis and Key Entity Detection Approach for Online Financial Texts	Jan 14, 2020	Ensemble LearningMachine Reading Comprehension	—Unverified
Aspect category learning and sentimental analysis using weakly supervised learning	Dec 24, 2023	Multi-class ClassificationMulti-Label Classification	—Unverified
Aspect Category Detection via Topic-Attention Network	Jan 4, 2019	Aspect-Based Sentiment AnalysisAspect-Based Sentiment Analysis (ABSA)	—Unverified
A Multilingual Sentiment Lexicon for Low-Resource Language Translation using Large Languages Models and Explainable AI	Nov 6, 2024	Large Language ModelSentiment Analysis	—Unverified
Conditional Augmentation for Aspect Term Extraction via Masked Sequence-to-Sequence Generation	Apr 30, 2020	Data AugmentationExtract Aspect	—Unverified
Aspect-Category based Sentiment Analysis with Hierarchical Graph Convolutional Network	Dec 1, 2020	Aspect-Based Sentiment AnalysisAspect-Based Sentiment Analysis (ABSA)	—Unverified
A Multi-lingual Annotated Dataset for Aspect-Oriented Opinion Mining	Sep 1, 2015	Opinion MiningSentiment Analysis	—Unverified
Examining Structure of Word Embeddings with PCA	May 31, 2019	DecoderMachine Translation	—Unverified
Aspect-based Sentiment Evaluation of Chess Moves (ASSESS): an NLP-based Method for Evaluating Chess Strategies from Textbooks	May 10, 2024	Aspect-Based Sentiment AnalysisAspect-Based Sentiment Analysis (ABSA)	—Unverified
A Multilayer Perceptron based Ensemble Technique for Fine-grained Financial Sentiment Analysis	Sep 1, 2017	Deep LearningSentiment Analysis	—Unverified

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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