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 2251–2275 of 5630 papers

Title	Date	Tasks	Status	Hype
Unsupervised Self-Training for Sentiment Analysis of Code-Switched Data	Mar 27, 2021	Sentiment Analysis	—Unverified	0
Drug Recommendation System based on Sentiment Analysis of Drug Reviews using Machine Learning	Mar 24, 2021	BIG-bench Machine LearningRecommendation Systems	—Unverified	0
When Word Embeddings Become Endangered	Mar 24, 2021	Cross-Lingual Word EmbeddingsSentiment Analysis	—Unverified	0
A New Approach To Text Rating Classification Using Sentiment Analysis	Mar 23, 2021	ClassificationGeneral Classification	—Unverified	0
Exercise? I thought you said 'Extra Fries': Leveraging Sentence Demarcations and Multi-hop Attention for Meme Affect Analysis	Mar 23, 2021	AllSentence	CodeCode Available	0
Grey-box Adversarial Attack And Defence For Sentiment Classification	Mar 22, 2021	Adversarial AttackClassification	CodeCode Available	0
TextFlint: Unified Multilingual Robustness Evaluation Toolkit for Natural Language Processing	Mar 21, 2021	Adversarial Attacknamed-entity-recognition	—Unverified	0
L3CubeMahaSent: A Marathi Tweet-based Sentiment Analysis Dataset	Mar 21, 2021	Sentiment Analysis	—Unverified	0
Local Interpretations for Explainable Natural Language Processing: A Survey	Mar 20, 2021	Deep LearningMachine Translation	—Unverified	0
Cost-effective Deployment of BERT Models in Serverless Environment	Mar 19, 2021	Knowledge DistillationSemantic Textual Similarity	—Unverified	0
Investigating Monolingual and Multilingual BERTModels for Vietnamese Aspect Category Detection	Mar 17, 2021	Aspect-Based Sentiment AnalysisAspect-Based Sentiment Analysis (ABSA)	—Unverified	0
Distributed Deep Learning Using Volunteer Computing-Like Paradigm	Mar 16, 2021	Deep Learningimage-classification	—Unverified	0
AngryBERT: Joint Learning Target and Emotion for Hate Speech Detection	Mar 14, 2021	Hate Speech DetectionSentiment Analysis	—Unverified	0
A `Sourceful' Twist: Emoji Prediction Based on Sentiment, Hashtags and Application Source	Mar 14, 2021	Sentiment AnalysisTwitter Sentiment Analysis	—Unverified	0
Impact of the COVID-19 outbreak on Italy's country reputation and stock market performance: a sentiment analysis approach	Mar 13, 2021	Sentiment Analysis	—Unverified	0
Bidirectional Machine Reading Comprehension for Aspect Sentiment Triplet Extraction	Mar 13, 2021	Aspect Sentiment Triplet ExtractionMachine Reading Comprehension	CodeCode Available	1
Targeted aspect based multimodal sentiment analysis:an attention capsule extraction and multi-head fusion network	Mar 13, 2021	Multimodal Sentiment AnalysisSentiment Analysis	—Unverified	0
Graph Ensemble Learning over Multiple Dependency Trees for Aspect-level Sentiment Classification	Mar 12, 2021	Ensemble LearningGeneral Classification	—Unverified	0
Towards Multi-Sense Cross-Lingual Alignment of Contextual Embeddings	Mar 11, 2021	Cross-Lingual NERCross-Lingual Word Embeddings	CodeCode Available	0
ASAP: A Chinese Review Dataset Towards Aspect Category Sentiment Analysis and Rating Prediction	Mar 11, 2021	Aspect Category Sentiment AnalysisSentiment Analysis	CodeCode Available	1
Tell Me Why You Feel That Way: Processing Compositional Dependency for Tree-LSTM Aspect Sentiment Triplet Extraction (TASTE)	Mar 10, 2021	Aspect Sentiment Triplet ExtractionSentence	—Unverified	0
Learning to Generate Music With Sentiment	Mar 9, 2021	Deep LearningMusic Generation	CodeCode Available	1
Improving Document-Level Sentiment Classification Using Importance of Sentences	Mar 9, 2021	ClassificationDocument Classification	—Unverified	0
UnICORNN: A recurrent model for learning very long time dependencies	Mar 9, 2021	Sentiment AnalysisSequential Image Classification	CodeCode Available	1
Sentiment Analysis for Troll Detection on Weibo	Mar 7, 2021	SentenceSentence segmentation	—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