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 3851–3900 of 5630 papers

Title	Date	Tasks	Status	Hype
Multi-task Learning of Pairwise Sequence Classification Tasks Over Disparate Label Spaces	Feb 27, 2018	General ClassificationMulti-Task Learning	CodeCode Available	0
Learning Anonymized Representations with Adversarial Neural Networks	Feb 26, 2018	Representation LearningSentiment Analysis	CodeCode Available	0
Modeling Spatiotemporal Factors Associated With Sentiment on Twitter: Synthesis and Suggestions for Improving the Identification of Localized Deviations	Feb 22, 2018	Sentiment Analysis	—Unverified	0
PrivySense: Price Volatility based Sentiments Estimation from Financial News using Machine Learning	Feb 21, 2018	Sentiment AnalysisSentiment Classification	—Unverified	0
Sentiment Analysis on Speaker Specific Speech Data	Feb 17, 2018	Sentiment Analysis	—Unverified	0
Disentangling Aspect and Opinion Words in Target-based Sentiment Analysis using Lifelong Learning	Feb 16, 2018	Lifelong learningSentiment Analysis	—Unverified	0
JU_KS@SAIL_CodeMixed-2017: Sentiment Analysis for Indian Code Mixed Social Media Texts	Feb 15, 2018	PositionSentiment Analysis	—Unverified	0
Deep contextualized word representations	Feb 15, 2018	Citation Intent ClassificationConversational Response Selection	CodeCode Available	1
Deep Neural Networks for Bot Detection	Feb 12, 2018	General ClassificationSentiment Analysis	CodeCode Available	0
Effective Quantization Approaches for Recurrent Neural Networks	Feb 7, 2018	Machine TranslationQuantization	—Unverified	0
Mining Public Opinion about Economic Issues: Twitter and the U.S. Presidential Election	Feb 6, 2018	Opinion MiningSentiment Analysis	—Unverified	0
Multimodal Sentiment Analysis with Word-Level Fusion and Reinforcement Learning	Feb 3, 2018	Multimodal Sentiment Analysisreinforcement-learning	CodeCode Available	0
Multi-attention Recurrent Network for Human Communication Comprehension	Feb 3, 2018	Emotion RecognitionMultimodal Sentiment Analysis	CodeCode Available	0
Left-Center-Right Separated Neural Network for Aspect-based Sentiment Analysis with Rotatory Attention	Feb 3, 2018	Aspect-Based Sentiment AnalysisAspect-Based Sentiment Analysis (ABSA)	CodeCode Available	0
Sentiment Analysis by Capsules	Feb 1, 2018	AttributeSentiment Analysis	CodeCode Available	0
Preparation of Improved Turkish DataSet for Sentiment Analysis in Social Media	Jan 30, 2018	Sentiment AnalysisSpelling Correction	—Unverified	0
TransRev: Modeling Reviews as Translations from Users to Items	Jan 30, 2018	Product RecommendationRecommendation Systems	—Unverified	0
Combining Convolution and Recursive Neural Networks for Sentiment Analysis	Jan 27, 2018	SentenceSentiment Analysis	—Unverified	0
Deep Learning for Sentiment Analysis : A Survey	Jan 24, 2018	BIG-bench Machine LearningDeep Learning	CodeCode Available	0
Improving Review Representations with User Attention and Product Attention for Sentiment Classification	Jan 24, 2018	General ClassificationSentiment Analysis	CodeCode Available	0
Entity Retrieval and Text Mining for Online Reputation Monitoring	Jan 23, 2018	Entity DisambiguationEntity Retrieval	—Unverified	0
SentiPers: A Sentiment Analysis Corpus for Persian	Jan 23, 2018	Information RetrievalOpinion Mining	CodeCode Available	0
Embedding Learning Through Multilingual Concept Induction	Jan 21, 2018	Sentiment AnalysisWord Similarity	—Unverified	0
What Does a TextCNN Learn?	Jan 19, 2018	ClassificationGeneral Classification	—Unverified	0
Contextual and Position-Aware Factorization Machines for Sentiment Classification	Jan 18, 2018	ClassificationGeneral Classification	—Unverified	0
Universal Language Model Fine-tuning for Text Classification	Jan 18, 2018	General ClassificationLanguage Modeling	CodeCode Available	3
Social Network based Short-Term Stock Trading System	Jan 16, 2018	Sentiment Analysis	—Unverified	0
Beyond Word Importance: Contextual Decomposition to Extract Interactions from LSTMs	Jan 16, 2018	Sentiment Analysis	CodeCode Available	1
Black-box Generation of Adversarial Text Sequences to Evade Deep Learning Classifiers	Jan 13, 2018	Adversarial TextGeneral Classification	CodeCode Available	1
Lifelong Learning for Sentiment Classification	Jan 9, 2018	Bayesian OptimizationClassification	—Unverified	0
Explorations in an English Poetry Corpus: A Neurocognitive Poetics Perspective	Jan 6, 2018	DiversitySentiment Analysis	—Unverified	0
Public Apologies in India - Semantics, Sentiment and Emotion	Jan 1, 2018	Document ClassificationOpinion Mining	—Unverified	0
Adversarial Examples for Natural Language Classification Problems	Jan 1, 2018	BIG-bench Machine LearningClassification	—Unverified	0
Multiple Source Domain Adaptation with Adversarial Learning	Jan 1, 2018	Domain AdaptationSentiment Analysis	—Unverified	0
Fast and Accurate Text Classification: Skimming, Rereading and Early Stopping	Jan 1, 2018	ClassificationGeneral Classification	—Unverified	0
Learning Representations Specialized in Spatial Knowledge: Leveraging Language and Vision	Jan 1, 2018	Dependency ParsingObject	CodeCode Available	0
Bootstrap Domain-Specific Sentiment Classifiers from Unlabeled Corpora	Jan 1, 2018	ClusteringGeneral Classification	—Unverified	0
Building a Sentiment Corpus of Tweets in Brazilian Portuguese	Dec 24, 2017	Binary ClassificationClassification	CodeCode Available	0
Comparative Opinion Mining: A Review	Dec 24, 2017	Opinion MiningSentiment Analysis	—Unverified	0
Any-gram Kernels for Sentence Classification: A Sentiment Analysis Case Study	Dec 19, 2017	General ClassificationSentence	—Unverified	0
Towards a science of human stories: using sentiment analysis and emotional arcs to understand the building blocks of complex social systems	Dec 17, 2017	General ClassificationSentiment Analysis	—Unverified	0
Learning when to skim and when to read	Dec 15, 2017	General ClassificationSentiment Analysis	—Unverified	0
Sentiment Predictability for Stocks	Dec 15, 2017	Event ExtractionPrediction	CodeCode Available	0
A Novel Way of Identifying Cyber Predators	Dec 11, 2017	General ClassificationLanguage Modeling	—Unverified	0
Aspect Extraction and Sentiment Classification of Mobile Apps using App-Store Reviews	Dec 9, 2017	Aspect ExtractionGeneral Classification	—Unverified	0
Audio-Visual Sentiment Analysis for Learning Emotional Arcs in Movies	Dec 8, 2017	ClusteringSentiment Analysis	CodeCode Available	0
Capturing Reliable Fine-Grained Sentiment Associations by Crowdsourcing and Best-Worst Scaling	Dec 5, 2017	Sentiment AnalysisStance Detection	—Unverified	0
Sentiment Classification using Images and Label Embeddings	Dec 3, 2017	ClassificationGeneral Classification	—Unverified	0
Sentiment Analysis: An Empirical Comparative Study of Various Machine Learning Approaches	Dec 1, 2017	BIG-bench Machine LearningSentiment Analysis	—Unverified	0
Linguistic approach based Transfer Learning for Sentiment Classification in Hindi	Dec 1, 2017	General ClassificationSentiment 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