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 3651–3675 of 5630 papers

Title	Date	Tasks	Status
Learn2Weight: Weights Transfer Defense against Similar-domain Adversarial Attacks	Jan 1, 2021	Adversarial AttackDomain Adaptation	—Unverified
Learnable Dependency-based Double Graph Structure for Aspect-based Sentiment Analysis	Oct 1, 2022	Aspect-Based Sentiment AnalysisAspect-Based Sentiment Analysis (ABSA)	—Unverified
Learning a Max-Margin Classifier for Cross-Domain Sentiment Analysis	Jan 1, 2021	Domain AdaptationMarketing	—Unverified
Learning Better Embeddings for Rare Words Using Distributional Representations	Sep 1, 2015	Sentiment Analysis	—Unverified
Learning Better Sentence Representation with Syntax Information	Jan 9, 2021	Language ModelingLanguage Modelling	—Unverified
Learning Bilingual Sentiment-Specific Word Embeddings without Cross-lingual Supervision	Jun 1, 2019	Sentiment AnalysisTranslation	—Unverified
Learning Bilingual Sentiment Word Embeddings for Cross-language Sentiment Classification	Jul 1, 2015	ClassificationGeneral Classification	—Unverified
Learning cascaded latent variable models for biomedical text classification	Dec 1, 2016	ClassificationGeneral Classification	—Unverified
Learning Cognitive Features from Gaze Data for Sentiment and Sarcasm Classification using Convolutional Neural Network	Jul 1, 2017	EEGElectroencephalogram (EEG)	—Unverified
Learning Context-Sensitive Convolutional Filters for Text Processing	Sep 25, 2017	Paraphrase IdentificationSentence	—Unverified
Learning Contextual Embeddings for Structural Semantic Similarity using Categorical Information	Aug 1, 2017	Feature EngineeringQuestion Answering	—Unverified
Learning Contextually Informed Representations for Linear-Time Discourse Parsing	Sep 1, 2017	Discourse ParsingFeature Engineering	—Unverified
Learning Cross-lingual Word Embeddings via Matrix Co-factorization	Jul 1, 2015	Cross-Lingual Document ClassificationCross-Lingual Word Embeddings	—Unverified
Learning Data Teaching Strategies Via Knowledge Tracing	Nov 13, 2021	image-classificationImage Classification	—Unverified
Learning Distributed Representations for Multilingual Text Sequences	Jun 1, 2015	Document ClassificationRepresentation Learning	—Unverified
Learning Domain Representation for Multi-Domain Sentiment Classification	Jun 1, 2018	ClassificationGeneral Classification	—Unverified
Learning Domain-Sensitive and Sentiment-Aware Word Embeddings	May 10, 2018	Data AugmentationGeneral Classification	—Unverified
Learning Domain-Specific Word Embeddings from Sparse Cybersecurity Texts	Sep 21, 2017	named-entity-recognitionNamed Entity Recognition	—Unverified
Learning Emotion Indicators from Tweets: Hashtags, Hashtag Patterns, and Phrases	Oct 1, 2014	Emotion ClassificationSentiment Analysis	—Unverified
Learning Explicit and Implicit Structures for Targeted Sentiment Analysis	Sep 17, 2019	Sentiment Analysis	—Unverified
Learning for Microblogs with Distant Supervision: Political Forecasting with Twitter	Apr 1, 2012	Sentiment Analysis	—Unverified
Learning from a Neighbor: Adapting a Japanese Parser for Korean Through Feature Transfer Learning	Oct 1, 2014	Cross-Lingual TransferDependency Parsing	—Unverified
Learning from Bullying Traces in Social Media	Jun 1, 2012	Sentiment AnalysisText Classification	—Unverified
Learning from Domain Complexity	May 1, 2014	feature selectionModel Selection	—Unverified
Learning from students' perception on professors through opinion mining	Aug 25, 2020	Opinion MiningSentiment Analysis	—Unverified

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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