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 1576–1600 of 5630 papers

Title	Date	Tasks	Status	Hype
Immigration in the Manifestos and Parliament Speeches of Danish Left and Right Wing Parties between 2009 and 2020	Jun 1, 2022	Sentiment Analysis	—Unverified	0
Causal Investigation of Public Opinion during the COVID-19 Pandemic via Social Media Text	Jun 1, 2022	Causal InferenceSentiment Analysis	—Unverified	0
Towards Speech-only Opinion-level Sentiment Analysis	Jun 1, 2022	Sentiment AnalysisSpeaker Verification	—Unverified	0
Order-sensitive Shapley Values for Evaluating Conceptual Soundness of NLP Models	Jun 1, 2022	Data AugmentationNegation	—Unverified	0
Uzbek Sentiment Analysis based on local Restaurant Reviews	May 31, 2022	Sentiment Analysis	—Unverified	0
Enhancing Event-Level Sentiment Analysis with Structured Arguments	May 31, 2022	Event ExtractionSentiment Analysis	CodeCode Available	0
EMS: Efficient and Effective Massively Multilingual Sentence Embedding Learning	May 31, 2022	Contrastive LearningGenre classification	CodeCode Available	0
A Knowledge-Enhanced Adversarial Model for Cross-lingual Structured Sentiment Analysis	May 31, 2022	Cross-Lingual TransferSentiment Analysis	—Unverified	0
Analyzing Modality Robustness in Multimodal Sentiment Analysis	May 30, 2022	DiagnosticMultimodal Sentiment Analysis	CodeCode Available	1
L3Cube-MahaNLP: Marathi Natural Language Processing Datasets, Models, and Library	May 29, 2022	Hate Speech DetectionLanguage Modeling	—Unverified	0
Approximate Conditional Coverage & Calibration via Neural Model Approximations	May 28, 2022	ClassificationDocument Classification	—Unverified	0
kNN-Prompt: Nearest Neighbor Zero-Shot Inference	May 27, 2022	Domain AdaptationLanguage Modelling	CodeCode Available	1
The Document Vectors Using Cosine Similarity Revisited	May 26, 2022	Sentiment Analysis	CodeCode Available	0
Grammar Detection for Sentiment Analysis through Improved Viterbi Algorithm	May 26, 2022	named-entity-recognitionNamed Entity Recognition	—Unverified	0
ORCA: Interpreting Prompted Language Models via Locating Supporting Data Evidence in the Ocean of Pretraining Data	May 25, 2022	Natural Language InferenceSentiment Analysis	—Unverified	0
BITE: Textual Backdoor Attacks with Iterative Trigger Injection	May 25, 2022	Backdoor AttackHate Speech Detection	CodeCode Available	0
Less Learn Shortcut: Analyzing and Mitigating Learning of Spurious Feature-Label Correlation	May 25, 2022	Natural Language InferenceSentiment Analysis	CodeCode Available	0
Multilevel sentiment analysis in arabic	May 24, 2022	Arabic Sentiment AnalysisSentiment Analysis	—Unverified	0
A Fine-grained Interpretability Evaluation Benchmark for Neural NLP	May 23, 2022	Reading ComprehensionSentiment Analysis	—Unverified	0
Neural Subgraph Explorer: Reducing Noisy Information via Target-Oriented Syntax Graph Pruning	May 23, 2022	Sentiment AnalysisSentiment Classification	—Unverified	0
YouTube Ad View Sentiment Analysis using Deep Learning and Machine Learning	May 23, 2022	BIG-bench Machine LearningData Visualization	—Unverified	0
Pre-training Data Quality and Quantity for a Low-Resource Language: New Corpus and BERT Models for Maltese	May 21, 2022	Cross-Lingual TransferDependency Parsing	CodeCode Available	1
Graph Adaptive Semantic Transfer for Cross-domain Sentiment Classification	May 18, 2022	ClassificationGraph Attention	—Unverified	0
ViralBERT: A User Focused BERT-Based Approach to Virality Prediction	May 17, 2022	Sentiment Analysis	CodeCode Available	0
Adaptive Prompt Learning-based Few-Shot Sentiment Analysis	May 15, 2022	Prompt LearningSentiment Analysis	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