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 2551–2575 of 5630 papers

Title	Date	Tasks	Status	Hype
Identifying Spurious Correlations for Robust Text Classification	Oct 6, 2020	Classificationfeature selection	CodeCode Available	1
Sentiment Analysis for Roman Urdu Text over Social Media, a Comparative Study	Oct 5, 2020	Sentiment Analysis	—Unverified	0
Sentiment Analysis for Reinforcement Learning	Oct 5, 2020	Dialogue Generationreinforcement-learning	—Unverified	0
CAT-Gen: Improving Robustness in NLP Models via Controlled Adversarial Text Generation	Oct 5, 2020	Adversarial TextAttribute	—Unverified	0
Modulated Fusion using Transformer for Linguistic-Acoustic Emotion Recognition	Oct 5, 2020	Emotion RecognitionMultimodal Sentiment Analysis	CodeCode Available	1
Sentence Constituent-Aware Aspect-Category Sentiment Analysis with Graph Attention Networks	Oct 4, 2020	Aspect Category DetectionAspect Category Sentiment Analysis	CodeCode Available	1
A Multi-task Learning Framework for Opinion Triplet Extraction	Oct 4, 2020	Aspect-Based Sentiment AnalysisAspect-Based Sentiment Analysis (ABSA)	CodeCode Available	1
Aspect-Based Sentiment Analysis in Education Domain	Oct 3, 2020	Aspect-Based Sentiment AnalysisAspect-Based Sentiment Analysis (ABSA)	—Unverified	0
TextDecepter: Hard Label Black Box Attack on Text Classification	Oct 2, 2020	ClassificationDecision Making	—Unverified	0
Legal Sentiment Analysis and Opinion Mining (LSAOM): Assimilating Advances in Autonomous AI Legal Reasoning	Oct 2, 2020	Legal ReasoningOpinion Mining	—Unverified	0
Coupled Oscillatory Recurrent Neural Network (coRNN): An accurate and (gradient) stable architecture for learning long time dependencies	Oct 2, 2020	Sentiment AnalysisSequential Image Classification	CodeCode Available	1
结合金融领域情感词典和注意力机制的细粒度情感分析(Attention-based Recurrent Network Combined with Financial Lexicon for Aspect-level Sentiment Classification)	Oct 1, 2020	Sentiment AnalysisSentiment Classification	—Unverified	0
Better Queries for Aspect-Category Sentiment Classification	Oct 1, 2020	Aspect Category DetectionAspect Category Sentiment Classification	—Unverified	0
多目标情感分类中文数据集构建及分析研究(Construction and Analysis of Chinese Multi-Target Sentiment Classification Dataset)	Oct 1, 2020	Sentiment AnalysisSentiment Classification	—Unverified	0
文本情感分析中的重叠现象研究(A Study on Repetition in Text-based Sentiment Analysis)	Oct 1, 2020	Sentiment Analysis	—Unverified	0
基于层次注意力机制和门机制的属性级别情感分析(Aspect-level Sentiment Analysis Based on Hierarchical Attention and Gate Networks)	Oct 1, 2020	Sentiment Analysis	—Unverified	0
Multimodal Sentiment Analysis with Multi-perspective Fusion Network Focusing on Sense Attentive Language	Oct 1, 2020	Multimodal Sentiment AnalysisSentiment Analysis	—Unverified	0
Classification of Nostalgic Music Through LDA Topic Modeling and Sentiment Analysis of YouTube Comments in Japanese Songs	Oct 1, 2020	Sentiment Analysis	—Unverified	0
Aspect-based Sentiment Analysis on Indonesia’s Tourism Destinations Based on Google Maps User Code-Mixed Reviews (Study Case: Borobudur and Prambanan Temples)	Oct 1, 2020	Aspect-Based Sentiment AnalysisAspect-Based Sentiment Analysis (ABSA)	—Unverified	0
Evaluating NLP Models via Contrast Sets	Oct 1, 2020	Reading ComprehensionSentiment Analysis	—Unverified	0
Assessing Robustness of Text Classification through Maximal Safe Radius Computation	Oct 1, 2020	ClassificationGeneral Classification	CodeCode Available	0
Learning Rewards from Linguistic Feedback	Sep 30, 2020	Aspect-Based Sentiment AnalysisAspect-Based Sentiment Analysis (ABSA)	CodeCode Available	1
LEBANONUPRISING: a thorough study of Lebanese tweets	Sep 30, 2020	Sentiment Analysis	—Unverified	0
Quantal synaptic dilution enhances sparse encoding and dropout regularisation in deep networks	Sep 28, 2020	Language ModellingSentiment Analysis	—Unverified	0
Domain Adversarial Fine-Tuning as an Effective Regularizer	Sep 28, 2020	Linguistic AcceptabilityNatural Language Understanding	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