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 3951–4000 of 5630 papers

Title	Date	Tasks	Status	Hype
Cascading Multiway Attentions for Document-level Sentiment Classification	Nov 1, 2017	ClassificationGeneral Classification	—Unverified	0
TOTEMSS: Topic-based, Temporal Sentiment Summarisation for Twitter	Nov 1, 2017	Opinion MiningSentiment Analysis	—Unverified	0
Towards Lower Bounds on Number of Dimensions for Word Embeddings	Nov 1, 2017	Named Entity Recognition (NER)Part-Of-Speech Tagging	—Unverified	0
Automatic detection of stance towards vaccination in online discussion forums	Nov 1, 2017	Binary ClassificationSentiment Analysis	—Unverified	0
Avoiding Your Teacher's Mistakes: Training Neural Networks with Controlled Weak Supervision	Nov 1, 2017	Document RankingSentiment Analysis	—Unverified	0
Topic Based Sentiment Analysis Using Deep Learning	Oct 28, 2017	Deep LearningSentiment Analysis	—Unverified	0
Combining Lexical Features and a Supervised Learning Approach for Arabic Sentiment Analysis	Oct 23, 2017	Arabic Sentiment AnalysisSentiment Analysis	—Unverified	0
NileTMRG at SemEval-2017 Task 4: Arabic Sentiment Analysis	Oct 23, 2017	Arabic Sentiment AnalysisGeneral Classification	—Unverified	0
Review highlights: opinion mining on reviews: a hybrid model for rule selection in aspect extraction	Oct 18, 2017	Aspect-Based Sentiment AnalysisAspect-Based Sentiment Analysis (ABSA)	CodeCode Available	1
Basic tasks of sentiment analysis	Oct 18, 2017	Aspect ExtractionSentiment Analysis	—Unverified	0
RETUYT in TASS 2017: Sentiment Analysis for Spanish Tweets using SVM and CNN	Oct 17, 2017	Sentiment AnalysisWord Embeddings	—Unverified	0
Convolutional Neural Networks for Sentiment Classification on Business Reviews	Oct 16, 2017	ClassificationGeneral Classification	—Unverified	0
NoReC: The Norwegian Review Corpus	Oct 15, 2017	Opinion MiningSentiment Analysis	CodeCode Available	0
Learning Phrase Embeddings from Paraphrases with GRUs	Oct 13, 2017	Machine TranslationSentiment Analysis	—Unverified	0
User Modelling for Avoiding Overfitting in Interactive Knowledge Elicitation for Prediction	Oct 13, 2017	BIG-bench Machine LearningSentiment Analysis	CodeCode Available	0
Deep Learning Paradigm with Transformed Monolingual Word Embeddings for Multilingual Sentiment Analysis	Oct 9, 2017	General ClassificationMachine Translation	—Unverified	0
On the Challenges of Sentiment Analysis for Dynamic Events	Oct 6, 2017	Emotion RecognitionMarketing	—Unverified	0
Crowdsourcing for Beyond Polarity Sentiment Analysis A Pure Emotion Lexicon	Oct 4, 2017	DiversitySentiment Analysis	CodeCode Available	0
Semantic Sentiment Analysis of Twitter Data	Oct 4, 2017	MarketingSentiment Analysis	—Unverified	0
Attentive Convolution: Equipping CNNs with RNN-style Attention Mechanisms	Oct 2, 2017	Claim VerificationNatural Language Inference	CodeCode Available	0
Wheel of Life: an initial investigation. Topic-Related Polarity Visualization in Personal Stories	Oct 1, 2017	Information RetrievalSentiment Analysis	—Unverified	0
Investigating Opinion Mining through Language Varieties: a Case Study of Brazilian and European Portuguese tweets	Oct 1, 2017	Decision MakingOpinion Mining	—Unverified	0
Evaluating Word Embeddings for Sentence Boundary Detection in Speech Transcripts	Oct 1, 2017	Automatic Speech Recognition (ASR)Boundary Detection	—Unverified	0
A study on irony within the context of 7x1-PT corpus	Oct 1, 2017	Opinion MiningSentiment Analysis	—Unverified	0
A Comparative Study for Sentiment Analysis on Election Brazilian News	Oct 1, 2017	Sentiment Analysis	—Unverified	0
Estudo explorat\'orio de categorias gramaticais com potencial de indicadores para a An\'alise de Sentimentos (An Exploratory study of grammatical categories as potential indicators for Sentiment Analysis)[In Portuguese]	Oct 1, 2017	Sentiment Analysis	—Unverified	0
Volatility Prediction using Financial Disclosures Sentiments with Word Embedding-based IR Models	Sep 28, 2017	Information RetrievalRetrieval	—Unverified	0
Sentiment Classification with Word Attention based on Weakly Supervised Learning with a Convolutional Neural Network	Sep 28, 2017	ClassificationGeneral Classification	—Unverified	0
Replicability Analysis for Natural Language Processing: Testing Significance with Multiple Datasets	Sep 27, 2017	Dependency ParsingGeneral Classification	CodeCode Available	0
EDEN: Evolutionary Deep Networks for Efficient Machine Learning	Sep 26, 2017	BIG-bench Machine LearningGPU	—Unverified	0
Dataset Construction via Attention for Aspect Term Extraction with Distant Supervision	Sep 26, 2017	Aspect-Based Sentiment AnalysisAspect-Based Sentiment Analysis (ABSA)	—Unverified	0
Using objective words in the reviews to improve the colloquial arabic sentiment analysis	Sep 25, 2017	Arabic Sentiment AnalysisGeneral Classification	—Unverified	0
Learning Context-Sensitive Convolutional Filters for Text Processing	Sep 25, 2017	Paraphrase IdentificationSentence	—Unverified	0
Computational Content Analysis of Negative Tweets for Obesity, Diet, Diabetes, and Exercise	Sep 22, 2017	EpidemiologySentiment Analysis	—Unverified	0
Learning Domain-Specific Word Embeddings from Sparse Cybersecurity Texts	Sep 21, 2017	named-entity-recognitionNamed Entity Recognition	—Unverified	0
Analyzing users' sentiment towards popular consumer industries and brands on Twitter	Sep 21, 2017	Sentiment Analysis	—Unverified	0
Identifying Restaurant Features via Sentiment Analysis on Yelp Reviews	Sep 20, 2017	Common Sense ReasoningSentiment Analysis	—Unverified	0
Text Compression for Sentiment Analysis via Evolutionary Algorithms	Sep 20, 2017	Data CompressionEvolutionary Algorithms	—Unverified	0
Aspect-Based Relational Sentiment Analysis Using a Stacked Neural Network Architecture	Sep 19, 2017	RelationRelation Extraction	CodeCode Available	0
Improving Opinion-Target Extraction with Character-Level Word Embeddings	Sep 19, 2017	Aspect-Based Sentiment AnalysisAspect-Based Sentiment Analysis (ABSA)	—Unverified	0
Aspect-Based Sentiment Analysis Using a Two-Step Neural Network Architecture	Sep 19, 2017	Aspect-Based Sentiment AnalysisAspect-Based Sentiment Analysis (ABSA)	—Unverified	0
Deep Automated Multi-task Learning	Sep 16, 2017	Multi-Task LearningPrediction	—Unverified	0
Unsupervised Aspect Term Extraction with B-LSTM & CRF using Automatically Labelled Datasets	Sep 15, 2017	Aspect-Based Sentiment AnalysisAspect-Based Sentiment Analysis (ABSA)	—Unverified	0
Cross-Platform Emoji Interpretation: Analysis, a Solution, and Applications	Sep 14, 2017	Sentiment Analysis	—Unverified	0
Assessing State-of-the-Art Sentiment Models on State-of-the-Art Sentiment Datasets	Sep 13, 2017	Sentiment AnalysisWord Embeddings	—Unverified	0
Method for Aspect-Based Sentiment Annotation Using Rhetorical Analysis	Sep 13, 2017	Aspect-Based Sentiment AnalysisAspect-Based Sentiment Analysis (ABSA)	—Unverified	0
RRA: Recurrent Residual Attention for Sequence Learning	Sep 12, 2017	Sentiment Analysis	—Unverified	0
Sentiment Polarity Detection for Software Development	Sep 9, 2017	Sentiment Analysis	CodeCode Available	0
From Review to Rating: Exploring Dependency Measures for Text Classification	Sep 4, 2017	Classificationfeature selection	—Unverified	0
A Case Study of Machine Translation in Financial Sentiment Analysis	Sep 1, 2017	Machine TranslationSentiment 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