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 4701–4750 of 5630 papers

Title	Date	Tasks	Status	Hype
The Variational Fair Autoencoder	Nov 3, 2015	General ClassificationSentiment Analysis	CodeCode Available	0
An Annotated Corpus for Sentiment Analysis in Political News	Nov 1, 2015	Sentiment Analysis	—Unverified	0
7x1-PT: um Corpus extra\' do Twitter para An\'alise de Sentimentos em L\' Portuguesa (7x1-PT: a Corpus extracted from Twitter for Sentiment Analysis in Portuguese Language)	Nov 1, 2015	Sentiment Analysis	—Unverified	0
Anotando um Corpus de Not\' para a An\'alise de Sentimentos: um Relato de Experi\^encia (Annotating a corpus of News for Sentiment Analysis: An Experience Report)	Nov 1, 2015	Sentiment Analysis	—Unverified	0
Um novo corpo e os seus desafios (A new corpus and the challenges it offers)	Nov 1, 2015	Question AnsweringSentiment Analysis	—Unverified	0
SentiWords: Deriving a High Precision and High Coverage Lexicon for Sentiment Analysis	Oct 30, 2015	Sentiment AnalysisVocal Bursts Intensity Prediction	—Unverified	0
Social Media Analysis for Product Safety using Text Mining and Sentiment Analysis	Oct 18, 2015	BIG-bench Machine LearningSentiment Analysis	—Unverified	0
Mapping Unseen Words to Task-Trained Embedding Spaces	Oct 8, 2015	Dependency ParsingSentiment Analysis	—Unverified	0
Is Wikipedia Really Neutral? A Sentiment Perspective Study of War-related Wikipedia Articles since 1945	Oct 1, 2015	ArticlesSentiment Analysis	—Unverified	0
Japanese Sentiment Classification with Stacked Denoising Auto-Encoder using Distributed Word Representation	Oct 1, 2015	DenoisingGeneral Classification	—Unverified	0
Hybrid Method of Semi-supervised Learning and Feature Weighted Learning for Domain Adaptation of Document Classification	Oct 1, 2015	Document ClassificationDomain Adaptation	—Unverified	0
Toward a Corpus of Cantonese Verbal Comments and their Classification by Multi-dimensional Analysis	Oct 1, 2015	General ClassificationOpinion Mining	—Unverified	0
Multi-aspects Rating Prediction Using Aspect Words and Sentences	Oct 1, 2015	General ClassificationPrediction	—Unverified	0
Predicting Sector Index Movement with Microblogging Public Mood Time Series on Social Issues	Oct 1, 2015	Sentiment AnalysisStock Prediction	—Unverified	0
Enhancing Root Extractors Using Light Stemmers	Oct 1, 2015	Machine TranslationPart-Of-Speech Tagging	—Unverified	0
Korean Twitter Emotion Classification Using Automatically Built Emotion Lexicons and Fine-Grained Features	Oct 1, 2015	Emotion ClassificationEmotion Recognition	—Unverified	0
Sentiment Classification of Arabic Documents: Experiments with multi-type features and ensemble algorithms	Oct 1, 2015	Document ClassificationGeneral Classification	—Unverified	0
Polarity Classification of Short Product Reviews via Multiple Cluster-based SVM Classifiers	Oct 1, 2015	ClusteringGeneral Classification	—Unverified	0
Thai Stock News Sentiment Classification using Wordpair Features	Oct 1, 2015	ClassificationGeneral Classification	—Unverified	0
Sentiment Analyzer with Rich Features for Ironic and Sarcastic Tweets	Oct 1, 2015	Opinion MiningSentiment Analysis	—Unverified	0
Sentiment Uncertainty and Spam in Twitter Streams and Its Implications for General Purpose Realtime Sentiment Analysis	Sep 25, 2015	Sentiment AnalysisTwitter Sentiment Analysis	—Unverified	0
Sentiment of Emojis	Sep 25, 2015	Sentiment Analysis	—Unverified	0
Robust Image Sentiment Analysis Using Progressively Trained and Domain Transferred Deep Networks	Sep 20, 2015	Sentiment Analysis	—Unverified	0
Building a Pilot Software Quality-in-Use Benchmark Dataset	Sep 18, 2015	SentenceSentiment Analysis	—Unverified	0
Twitter Sentiment Analysis	Sep 14, 2015	Sentiment AnalysisSentiment Classification	—Unverified	0
Improved Twitter Sentiment Prediction through Cluster-then-Predict Model	Sep 8, 2015	ClusteringGeneral Classification	—Unverified	0
Unsupervised Cross-Domain Recognition by Identifying Compact Joint Subspaces	Sep 5, 2015	Domain AdaptationObject Recognition	—Unverified	0
Better Document-level Sentiment Analysis from RST Discourse Parsing	Sep 4, 2015	Discourse ParsingGeneral Classification	—Unverified	0
Character-level Convolutional Networks for Text Classification	Sep 4, 2015	General ClassificationSentiment Analysis	CodeCode Available	1
How Topic Biases Your Results? A Case Study of Sentiment Analysis and Irony Detection in Italian	Sep 1, 2015	Sentiment Analysis	—Unverified	0
Some Theoretical Considerations in Off-the-Shelf Text Analysis Software	Sep 1, 2015	Deception DetectionSentiment Analysis	—Unverified	0
About Emotion Identification in Visual Sentiment Analysis	Sep 1, 2015	Decision MakingSentiment Analysis	—Unverified	0
Structural Alignment for Comparison Detection	Sep 1, 2015	Semantic Role LabelingSentiment Analysis	—Unverified	0
A Large Wordnet-based Sentiment Lexicon for Polish	Sep 1, 2015	ClusteringOpinion Mining	—Unverified	0
A Comparative Study of Different Sentiment Lexica for Sentiment Analysis of Tweets	Sep 1, 2015	Sentiment Analysis	—Unverified	0
Ordering adverbs by their scaling effect on adjective intensity	Sep 1, 2015	ClusteringNatural Language Inference	—Unverified	0
Fine-Grained Sentiment Analysis for Movie Reviews in Bulgarian	Sep 1, 2015	General ClassificationSentiment Analysis	—Unverified	0
Extractive Summarization by Aggregating Multiple Similarities	Sep 1, 2015	Document SummarizationExtractive Summarization	—Unverified	0
Learning Relationship between Authors' Activity and Sentiments: A case study of online medical forums	Sep 1, 2015	General ClassificationOpinion Mining	—Unverified	0
Collecting and Evaluating Lexical Polarity with A Game With a Purpose	Sep 1, 2015	Sentiment Analysis	—Unverified	0
Lexicon-based Sentiment Analysis for Persian Text	Sep 1, 2015	Sentiment Analysis	—Unverified	0
POS Tagging for Arabic Tweets	Sep 1, 2015	Machine TranslationPart-Of-Speech Tagging	—Unverified	0
Unsupervised Topic-Specific Domain Dependency Graphs for Aspect Identification in Sentiment Analysis	Sep 1, 2015	Aspect-Based Sentiment Analysis (ABSA)Information Retrieval	—Unverified	0
Types of Aspect Terms in Aspect-Oriented Sentiment Labeling	Sep 1, 2015	Aspect-Based Sentiment Analysis (ABSA)Sentiment Analysis	—Unverified	0
A Two-level Classifier for Discriminating Similar Languages	Sep 1, 2015	Language IdentificationMachine Translation	—Unverified	0
Multilingual Affect Polarity and Valence Prediction in Metaphors	Sep 1, 2015	PredictionSentiment Analysis	—Unverified	0
Synthetic Text Generation for Sentiment Analysis	Sep 1, 2015	Sentiment AnalysisText Generation	—Unverified	0
Sentiment Classification via a Response Recalibration Framework	Sep 1, 2015	ClassificationGeneral Classification	—Unverified	0
Verb-centered Sentiment Inference with Description Logics	Sep 1, 2015	Sentiment Analysis	—Unverified	0
Connotation in Translation	Sep 1, 2015	Machine TranslationOpinion Mining	—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