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 4151–4200 of 5630 papers

Title	Date	Tasks	Status	Hype
TSA-INF at SemEval-2017 Task 4: An Ensemble of Deep Learning Architectures Including Lexicon Features for Twitter Sentiment Analysis	Aug 1, 2017	General ClassificationSentiment Analysis	—Unverified	0
TopicThunder at SemEval-2017 Task 4: Sentiment Classification Using a Convolutional Neural Network with Distant Supervision	Aug 1, 2017	General ClassificationSentiment Analysis	—Unverified	0
NNEMBs at SemEval-2017 Task 4: Neural Twitter Sentiment Classification: a Simple Ensemble Method with Different Embeddings	Aug 1, 2017	Feature EngineeringGeneral Classification	—Unverified	0
Tweester at SemEval-2017 Task 4: Fusion of Semantic-Affective and pairwise classification models for sentiment analysis in Twitter	Aug 1, 2017	General ClassificationSentiment Analysis	—Unverified	0
Learned in Translation: Contextualized Word Vectors	Aug 1, 2017	General ClassificationMachine Translation	CodeCode Available	0
Using millions of emoji occurrences to learn any-domain representations for detecting sentiment, emotion and sarcasm	Aug 1, 2017	DiversitySarcasm Detection	CodeCode Available	0
Bayesian Sparsification of Recurrent Neural Networks	Jul 31, 2017	Language ModelingLanguage Modelling	CodeCode Available	1
Joint Named Entity Recognition and Stance Detection in Tweets	Jul 30, 2017	named-entity-recognitionNamed Entity Recognition	—Unverified	0
Benchmarking Multimodal Sentiment Analysis	Jul 29, 2017	BenchmarkingEmotion Recognition	—Unverified	0
Sentiment Analysis on Financial News Headlines using Training Dataset Augmentation	Jul 29, 2017	Data Augmentationregression	CodeCode Available	0
ASDA : Analyseur Syntaxique du Dialecte Algérien dans un but d'analyse sémantique	Jul 26, 2017	Opinion MiningPOS	—Unverified	0
Strawman: an Ensemble of Deep Bag-of-Ngrams for Sentiment Analysis	Jul 26, 2017	SentenceSentiment Analysis	CodeCode Available	0
Dual Rectified Linear Units (DReLUs): A Replacement for Tanh Activation Functions in Quasi-Recurrent Neural Networks	Jul 25, 2017	Language ModelingLanguage Modelling	CodeCode Available	1
Prediction-Constrained Training for Semi-Supervised Mixture and Topic Models	Jul 23, 2017	PredictionSentiment Analysis	—Unverified	0
Tensor Fusion Network for Multimodal Sentiment Analysis	Jul 23, 2017	Multimodal Sentiment AnalysisSentiment Analysis	CodeCode Available	0
A study on text-score disagreement in online reviews	Jul 21, 2017	Sentiment Analysis	—Unverified	0
Large-Scale Goodness Polarity Lexicons for Community Question Answering	Jul 20, 2017	Community Question AnsweringQuestion Answering	—Unverified	0
Correlations and Flow of Information between The New York Times and Stock Markets	Jul 18, 2017	Sentiment AnalysisTime Series	—Unverified	0
Spherical Paragraph Model	Jul 18, 2017	modelRepresentation Learning	—Unverified	0
Learning to select data for transfer learning with Bayesian Optimization	Jul 17, 2017	Bayesian OptimizationDiversity	CodeCode Available	0
A Semantics-Based Measure of Emoji Similarity	Jul 14, 2017	Semantic SimilaritySemantic Textual Similarity	CodeCode Available	0
Developing a concept-level knowledge base for sentiment analysis in Singlish	Jul 14, 2017	Common Sense ReasoningGraph Mining	—Unverified	0
Do Convolutional Networks need to be Deep for Text Classification ?	Jul 13, 2017	ClassificationGeneral Classification	—Unverified	0
Multitask Learning for Fine-Grained Twitter Sentiment Analysis	Jul 12, 2017	ClassificationGeneral Classification	CodeCode Available	0
Towards Crafting Text Adversarial Samples	Jul 10, 2017	Adversarial TextSentiment Analysis	—Unverified	0
Learning to Compose Task-Specific Tree Structures	Jul 10, 2017	Natural Language InferenceSentiment Analysis	CodeCode Available	0
PELESent: Cross-domain polarity classification using distant supervision	Jul 9, 2017	ClassificationGeneral Classification	CodeCode Available	0
Efficient Vector Representation for Documents through Corruption	Jul 8, 2017	Document ClassificationRepresentation Learning	CodeCode Available	0
On the Role of Text Preprocessing in Neural Network Architectures: An Evaluation Study on Text Categorization and Sentiment Analysis	Jul 6, 2017	Sentiment AnalysisText Categorization	CodeCode Available	0
Cross-Lingual Sentiment Analysis Without (Good) Translation	Jul 6, 2017	Machine TranslationSentiment Analysis	—Unverified	0
Determining sentiment in citation text and analyzing its impact on the proposed ranking index	Jul 5, 2017	ArticlesOpinion Mining	—Unverified	0
Sentiment Identification in Code-Mixed Social Media Text	Jul 4, 2017	Sentiment AnalysisSubjectivity Analysis	—Unverified	0
Automated Problem Identification: Regression vs Classification via Evolutionary Deep Networks	Jul 3, 2017	BIG-bench Machine LearningClassification	CodeCode Available	0
Dual Supervised Learning	Jul 3, 2017	General Classificationimage-classification	—Unverified	0
Improving Distributed Representations of Tweets - Present and Future	Jul 1, 2017	Information RetrievalRepresentation Learning	—Unverified	0
Multilingual Connotation Frames: A Case Study on Social Media for Targeted Sentiment Analysis and Forecast	Jul 1, 2017	Sentiment Analysis	—Unverified	0
Parser Adaptation for Social Media by Integrating Normalization	Jul 1, 2017	Domain AdaptationNamed Entity Recognition (NER)	—Unverified	0
Benben: A Chinese Intelligent Conversational Robot	Jul 1, 2017	Chinese Word SegmentationDependency Parsing	—Unverified	0
Pay Attention to the Ending:Strong Neural Baselines for the ROC Story Cloze Task	Jul 1, 2017	NegationOutlier Detection	—Unverified	0
``Liar, Liar Pants on Fire'': A New Benchmark Dataset for Fake News Detection	Jul 1, 2017	Deception DetectionFact Checking	CodeCode Available	1
English Event Detection With Translated Language Features	Jul 1, 2017	Event DetectionEvent Extraction	—Unverified	0
On the Distribution of Lexical Features at Multiple Levels of Analysis	Jul 1, 2017	Document ClassificationSentiment Analysis	—Unverified	0
Linguistically Regularized LSTM for Sentiment Classification	Jul 1, 2017	ClassificationGeneral Classification	—Unverified	0
Improved Word Representation Learning with Sememes	Jul 1, 2017	Common Sense ReasoningLanguage Modeling	CodeCode Available	0
Unifying Text, Metadata, and User Network Representations with a Neural Network for Geolocation Prediction	Jul 1, 2017	PredictionSentiment Analysis	—Unverified	0
Active Sentiment Domain Adaptation	Jul 1, 2017	Active LearningDomain Adaptation	—Unverified	0
Context-Dependent Sentiment Analysis in User-Generated Videos	Jul 1, 2017	Emotion RecognitionEmotion Recognition in Conversation	CodeCode Available	0
An Unsupervised Neural Attention Model for Aspect Extraction	Jul 1, 2017	Aspect-Based Sentiment AnalysisAspect-Based Sentiment Analysis (ABSA)	CodeCode Available	0
A Two-Stage Parsing Method for Text-Level Discourse Analysis	Jul 1, 2017	Dependency ParsingDocument Summarization	CodeCode Available	0
Deep Pyramid Convolutional Neural Networks for Text Categorization	Jul 1, 2017	Sentiment AnalysisSentiment Classification	CodeCode Available	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