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 4351–4400 of 5630 papers

Title	Date	Tasks	Status	Hype
Problematic Cases in the Annotation of Negation in Spanish	Dec 1, 2016	NegationNegation Detection	—Unverified	0
Recurrent Neural Network with Word Embedding for Complaint Classification	Dec 1, 2016	ClassificationGeneral Classification	—Unverified	0
The Challenges of Multi-dimensional Sentiment Analysis Across Languages	Dec 1, 2016	Sentiment AnalysisTranslation	—Unverified	0
Detecting Opinion Polarities using Kernel Methods	Dec 1, 2016	Aspect-Based Sentiment Analysis (ABSA)Sentiment Analysis	—Unverified	0
Microblog Emotion Classification by Computing Similarity in Text, Time, and Space	Dec 1, 2016	Emotion ClassificationGeneral Classification	—Unverified	0
Sarcasm Detection : Building a Contextual Hierarchy	Dec 1, 2016	Lexical AnalysisSarcasm Detection	—Unverified	0
Effects of Semantic Relatedness between Setups and Punchlines in Twitter Hashtag Games	Dec 1, 2016	Language AcquisitionSentiment Analysis	—Unverified	0
Feature based Sentiment Analysis using a Domain Ontology	Dec 1, 2016	Opinion MiningSentiment Analysis	—Unverified	0
Meaning Matters: Senses of Words are More Informative than Words for Cross-domain Sentiment Analysis	Dec 1, 2016	Sentiment Analysis	—Unverified	0
Towards Building a SentiWordNet for Tamil	Dec 1, 2016	Sentiment Analysis	—Unverified	0
Negation and Modality in Machine Translation	Dec 1, 2016	Machine TranslationNegation	—Unverified	0
Sentiment Analysis for Low Resource Languages: A Study on Informal Indonesian Tweets	Dec 1, 2016	POSSentiment Analysis	—Unverified	0
A Recurrent and Compositional Model for Personality Trait Recognition from Short Texts	Dec 1, 2016	Feature EngineeringPart-Of-Speech Tagging	—Unverified	0
Sentiment Analysis of Tweets in Three Indian Languages	Dec 1, 2016	General ClassificationOpinion Mining	—Unverified	0
Twitter Geolocation Prediction Shared Task of the 2016 Workshop on Noisy User-generated Text	Dec 1, 2016	Sentiment Analysis	—Unverified	0
Analysis of Twitter Data for Postmarketing Surveillance in Pharmacovigilance	Dec 1, 2016	Language IdentificationPharmacovigilance	—Unverified	0
Active learning for detection of stance components	Dec 1, 2016	Active LearningOpinion Mining	—Unverified	0
The Effect of Gender and Age Differences on the Recognition of Emotions from Facial Expressions	Dec 1, 2016	Cultural Vocal Bursts Intensity PredictionEmotion Recognition	—Unverified	0
Unsupervised Stemmer for Arabic Tweets	Dec 1, 2016	Machine TranslationSentiment Analysis	—Unverified	0
Temporal Attention-Gated Model for Robust Sequence Classification	Dec 1, 2016	ClassificationGeneral Classification	CodeCode Available	0
Sentiment Analysis for Twitter : Going Beyond Tweet Text	Nov 29, 2016	Sentiment Analysis	—Unverified	0
Analyzing Features for the Detection of Happy Endings in German Novels	Nov 28, 2016	Sentiment Analysis	—Unverified	0
Structural Correspondence Learning for Cross-lingual Sentiment Classification with One-to-many Mappings	Nov 26, 2016	Cross-Lingual Sentiment ClassificationGeneral Classification	—Unverified	0
ATR4S: Toolkit with State-of-the-art Automatic Terms Recognition Methods in Scala	Nov 23, 2016	Information RetrievalMachine Translation	CodeCode Available	1
Learning to Distill: The Essence Vector Modeling Framework	Nov 22, 2016	DenoisingDocument Embedding	—Unverified	0
Text Classification Improved by Integrating Bidirectional LSTM with Two-dimensional Max Pooling	Nov 21, 2016	Binary ClassificationClassification	CodeCode Available	0
Visualizing and Understanding Curriculum Learning for Long Short-Term Memory Networks	Nov 18, 2016	Sentiment Analysis	—Unverified	0
Interpreting the Syntactic and Social Elements of the Tweet Representations via Elementary Property Prediction Tasks	Nov 15, 2016	Property PredictionRepresentation Learning	CodeCode Available	0
When Saliency Meets Sentiment: Understanding How Image Content Invokes Emotion and Sentiment	Nov 14, 2016	Saliency DetectionSentiment Analysis	—Unverified	0
`Who would have thought of that!': A Hierarchical Topic Model for Extraction of Sarcasm-prevalent Topics and Sarcasm Detection	Nov 14, 2016	Aspect-Based Sentiment AnalysisAspect-Based Sentiment Analysis (ABSA)	—Unverified	0
Linguistically Regularized LSTMs for Sentiment Classification	Nov 12, 2016	ClassificationGeneral Classification	—Unverified	0
Dependency Sensitive Convolutional Neural Networks for Modeling Sentences and Documents	Nov 8, 2016	ClassificationGeneral Classification	CodeCode Available	0
Balotage in Argentina 2015, a sentiment analysis of tweets	Nov 7, 2016	Sentiment Analysis	—Unverified	0
AC-BLSTM: Asymmetric Convolutional Bidirectional LSTM Networks for Text Classification	Nov 7, 2016	ClassificationGeneral Classification	CodeCode Available	0
Quasi-Recurrent Neural Networks	Nov 5, 2016	Language ModelingLanguage Modelling	CodeCode Available	0
TopicRNN: A Recurrent Neural Network with Long-Range Semantic Dependency	Nov 5, 2016	Language ModelingLanguage Modelling	CodeCode Available	0
Automated Generation of Multilingual Clusters for the Evaluation of Distributed Representations	Nov 4, 2016	Outlier DetectionSentiment Analysis	CodeCode Available	0
Towards Sub-Word Level Compositions for Sentiment Analysis of Hindi-English Code Mixed Text	Nov 2, 2016	Opinion MiningSentiment Analysis	CodeCode Available	0
Word-Level Language Identification and Predicting Codeswitching Points in Swahili-English Language Data	Nov 1, 2016	Language IdentificationSentiment Analysis	—Unverified	0
Steps Toward Automatic Understanding of the Function of Affective Language in Support Groups	Nov 1, 2016	Aspect-Based Sentiment Analysis (ABSA)Sentiment Analysis	—Unverified	0
Citation Analysis with Neural Attention Models	Nov 1, 2016	Information RetrievalQuestion Answering	—Unverified	0
Codeswitching Detection via Lexical Features in Conditional Random Fields	Nov 1, 2016	Automatic Speech Recognition (ASR)Sentiment Analysis	—Unverified	0
How Do I Look? Publicity Mining From Distributed Keyword Representation of Socially Infused News Articles	Nov 1, 2016	ArticlesEmotion Classification	—Unverified	0
Towards Broad-coverage Meaning Representation: The Case of Comparison Structures	Nov 1, 2016	Question AnsweringReading Comprehension	—Unverified	0
Human versus Machine Attention in Document Classification: A Dataset with Crowdsourced Annotations	Nov 1, 2016	Document ClassificationGeneral Classification	—Unverified	0
Attention-based LSTM Network for Cross-Lingual Sentiment Classification	Nov 1, 2016	ClassificationCross-Lingual Sentiment Classification	—Unverified	0
Deep Neural Networks with Massive Learned Knowledge	Nov 1, 2016	Representation LearningSentiment Analysis	—Unverified	0
Learning Sentence Embeddings with Auxiliary Tasks for Cross-Domain Sentiment Classification	Nov 1, 2016	Domain AdaptationGeneral Classification	—Unverified	0
Discourse Parsing with Attention-based Hierarchical Neural Networks	Nov 1, 2016	Discourse ParsingDocument Summarization	—Unverified	0
Combining Supervised and Unsupervised Enembles for Knowledge Base Population	Nov 1, 2016	Entity LinkingKnowledge Base Population	—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