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 501–525 of 5630 papers

Title	Date	Tasks	Status	Hype	Score
Exchanging-based Multimodal Fusion with Transformer	Sep 5, 2023	Image CaptioningImage Generation	CodeCode Available	1	5
Who Blames or Endorses Whom? Entity-to-Entity Directed Sentiment Extraction in News Text	Jun 2, 2021	Question AnsweringSentiment Analysis	CodeCode Available	1	5
Expose Backdoors on the Way: A Feature-Based Efficient Defense against Textual Backdoor Attacks	Oct 14, 2022	backdoor defenseSentiment Analysis	CodeCode Available	1	5
YASO: A Targeted Sentiment Analysis Evaluation Dataset for Open-Domain Reviews	Dec 29, 2020	Aspect ExtractionSentiment Analysis	CodeCode Available	1	5
Enhanced Aspect-Based Sentiment Analysis Models with Progressive Self-supervised Attention Learning	Mar 5, 2021	Aspect-Based Sentiment AnalysisAspect-Based Sentiment Analysis (ABSA)	CodeCode Available	1	5
ZEN: Pre-training Chinese Text Encoder Enhanced by N-gram Representations	Nov 2, 2019	Chinese Named Entity RecognitionChinese Word Segmentation	CodeCode Available	1	5
Zero-Shot Text Classification via Self-Supervised Tuning	May 19, 2023	ClassificationSelf-Supervised Learning	CodeCode Available	1	5
Enhanced Multi-Channel Graph Convolutional Network for Aspect Sentiment Triplet Extraction	May 1, 2022	Aspect Sentiment Triplet ExtractionRelation	CodeCode Available	1	5
Exploiting BERT For Multimodal Target Sentiment Classification Through Input Space Translation	Aug 3, 2021	Language ModelingLanguage Modelling	CodeCode Available	1	5
Enhancing Aspect-level Sentiment Analysis with Word Dependencies	Apr 1, 2021	Dependency ParsingSentiment Analysis	CodeCode Available	1	5
GRUBERT: A GRU-Based Method to Fuse BERT Hidden Layers for Twitter Sentiment Analysis	Dec 1, 2020	Sentiment AnalysisTwitter Sentiment Analysis	CodeCode Available	1	5
Joint Aspect Extraction and Sentiment Analysis with Directional Graph Convolutional Networks	Dec 1, 2020	Aspect-Based Sentiment AnalysisAspect-Based Sentiment Analysis (ABSA)	CodeCode Available	1	5
Nyströmformer: A Nyström-Based Algorithm for Approximating Self-Attention	Feb 7, 2021	Natural Language InferenceQuestion Answering	CodeCode Available	1	5
A Robustly Optimized BMRC for Aspect Sentiment Triplet Extraction	Jul 1, 2022	Aspect-Based Sentiment AnalysisAspect-Based Sentiment Analysis (ABSA)	CodeCode Available	1	5
A semantically enhanced dual encoder for aspect sentiment triplet extraction	Jun 14, 2023	Aspect-Based Sentiment AnalysisAspect-Based Sentiment Analysis (ABSA)	CodeCode Available	1	5
A Challenge Dataset and Effective Models for Aspect-Based Sentiment Analysis	Nov 1, 2019	Aspect-Based Sentiment AnalysisAspect-Based Sentiment Analysis (ABSA)	CodeCode Available	0	5
Enhancing Assamese NLP Capabilities: Introducing a Centralized Dataset Repository	Oct 15, 2024	DiversityMachine Translation	CodeCode Available	0	5
Adaptation of domain-specific transformer models with text oversampling for sentiment analysis of social media posts on Covid-19 vaccines	Sep 22, 2022	Language ModelingLanguage Modelling	CodeCode Available	0	5
Enhancing Affinity Propagation for Improved Public Sentiment Insights	Oct 12, 2024	ClusteringDimensionality Reduction	CodeCode Available	0	5
Enhancing Collaborative Filtering Recommender with Prompt-Based Sentiment Analysis	Jul 19, 2022	Collaborative FilteringSentiment Analysis	CodeCode Available	0	5
A Hybrid Approach for Aspect-Based Sentiment Analysis Using Deep Contextual Word Embeddings and Hierarchical Attention	Apr 18, 2020	Aspect-Based Sentiment AnalysisAspect-Based Sentiment Analysis (ABSA)	CodeCode Available	0	5
Applying QNLP to sentiment analysis in finance	Jul 20, 2023	Sentiment Analysis	CodeCode Available	0	5
Adaptation of Deep Bidirectional Multilingual Transformers for Russian Language	May 17, 2019	Natural Language InferenceParaphrase Identification	CodeCode Available	0	5
A Hybrid Approach for Aspect-Based Sentiment Analysis Using a Lexicalized Domain Ontology and Attentional Neural Models	Mar 4, 2019	Aspect-Based Sentiment AnalysisAspect-Based Sentiment Analysis (ABSA)	CodeCode Available	0	5
End-to-End Annotator Bias Approximation on Crowdsourced Single-Label Sentiment Analysis	Nov 3, 2021	MisconceptionsSentiment Analysis	CodeCode Available	0	5

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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	T5-11B	Accuracy	97.5	—	Unverified
3	MT-DNN-SMART	Accuracy	97.5	—	Unverified
4	T5-3B	Accuracy	97.4	—	Unverified
5	MUPPET Roberta Large	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	RoBERTa-large 355M + Entailment as Few-shot Learner	Accuracy	96.9	—	Unverified
10	SMARTRoBERTa	Dev 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