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 401–425 of 5630 papers

Title	Date	Tasks	Status	Hype	Score
Context-Guided BERT for Targeted Aspect-Based Sentiment Analysis	Oct 15, 2020	Aspect-Based Sentiment AnalysisAspect-Based Sentiment Analysis (ABSA)	CodeCode Available	1	5
MOSI: Multimodal Corpus of Sentiment Intensity and Subjectivity Analysis in Online Opinion Videos	Jun 20, 2016	Sentiment AnalysisSubjectivity Analysis	CodeCode Available	1	5
MSE-Adapter: A Lightweight Plugin Endowing LLMs with the Capability to Perform Multimodal Sentiment Analysis and Emotion Recognition	Feb 18, 2025	Emotion RecognitionLarge Language Model	CodeCode Available	1	5
An open access NLP dataset for Arabic dialects : Data collection, labeling, and model construction	Feb 7, 2021	Sentiment Analysis	CodeCode Available	1	5
Multi-Instance Multi-Label Learning Networks for Aspect-Category Sentiment Analysis	Oct 6, 2020	Aspect Category Sentiment AnalysisMulti-Label Learning	CodeCode Available	1	5
Adapting Pre-trained Language Models to African Languages via Multilingual Adaptive Fine-Tuning	Apr 13, 2022	Cross-Lingual TransferLanguage Modelling	CodeCode Available	1	5
Continual Learning with Knowledge Transfer for Sentiment Classification	Dec 18, 2021	ClassificationContinual Learning	CodeCode Available	1	5
Cost-Sensitive BERT for Generalisable Sentence Classification with Imbalanced Data	Mar 16, 2020	ClassificationData Augmentation	CodeCode Available	1	5
DocSCAN: Unsupervised Text Classification via Learning from Neighbors	May 9, 2021	ClassificationClustering	CodeCode Available	1	5
Multimodal Phased Transformer for Sentiment Analysis	Nov 1, 2021	Sentiment Analysis	CodeCode Available	1	5
Adversarial Training for Aspect-Based Sentiment Analysis with BERT	Jan 30, 2020	Aspect-Based Sentiment AnalysisAspect-Based Sentiment Analysis (ABSA)	CodeCode Available	1	5
Convolutional Neural Networks for Sentence Classification	Aug 25, 2014	Emotion Recognition in ConversationGeneral Classification	CodeCode Available	1	5
MuSe 2020 -- The First International Multimodal Sentiment Analysis in Real-life Media Challenge and Workshop	Apr 30, 2020	Emotion RecognitionMultimodal Sentiment Analysis	CodeCode Available	1	5
Cooperative Sentiment Agents for Multimodal Sentiment Analysis	Apr 19, 2024	DisentanglementEmotion Recognition	CodeCode Available	1	5
Domain-Adversarial Training of Neural Networks	May 28, 2015	Domain AdaptationDomain Generalization	CodeCode Available	1	5
Coupled Oscillatory Recurrent Neural Network (coRNN): An accurate and (gradient) stable architecture for learning long time dependencies	Oct 2, 2020	Sentiment AnalysisSequential Image Classification	CodeCode Available	1	5
ArSentD-LEV: A Multi-Topic Corpus for Target-based Sentiment Analysis in Arabic Levantine Tweets	May 25, 2019	SentenceSentiment Analysis	CodeCode Available	1	5
NewsMTSC: A Dataset for (Multi-)Target-dependent Sentiment Classification in Political News Articles	Apr 1, 2021	ArticlesDecision Making	CodeCode Available	1	5
Cross-Domain Sentiment Classification with Contrastive Learning and Mutual Information Maximization	Oct 30, 2020	Contrastive LearningGeneral Classification	CodeCode Available	1	5
Disentangled Learning of Stance and Aspect Topics for Vaccine Attitude Detection in Social Media	May 6, 2022	Aspect-Based Sentiment AnalysisAspect-Based Sentiment Analysis (ABSA)	CodeCode Available	1	5
Cross-Domain Sentiment Classification with In-Domain Contrastive Learning	Dec 5, 2020	ClassificationContrastive Learning	CodeCode Available	1	5
On the Interplay Between Fine-tuning and Composition in Transformers	May 31, 2021	Sentiment AnalysisSentiment Classification	CodeCode Available	1	5
A Fair and Comprehensive Comparison of Multimodal Tweet Sentiment Analysis Methods	Jun 16, 2021	Sentiment Analysis	CodeCode Available	1	5
Cross-lingual Aspect-based Sentiment Analysis with Aspect Term Code-Switching	Nov 1, 2021	Aspect-Based Sentiment AnalysisAspect-Based Sentiment Analysis (ABSA)	CodeCode Available	1	5
DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter	Oct 2, 2019	Hate Speech DetectionKnowledge Distillation	CodeCode Available	1	5

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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