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

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Showing 4751–4800 of 5630 papers

Title	Date	Tasks	Status
Specializing Word Embeddings for Similarity or Relatedness	Sep 1, 2015	Document ClassificationNamed Entity Recognition (NER)	—Unverified
Closing the Gap: Domain Adaptation from Explicit to Implicit Discourse Relations	Sep 1, 2015	DenoisingDomain Adaptation	—Unverified
Squibs: Evaluation Methods for Statistically Dependent Text	Sep 1, 2015	Named Entity Recognition (NER)Opinion Mining	—Unverified
A Linguistically Informed Convolutional Neural Network	Sep 1, 2015	Sentiment AnalysisWord Embeddings	—Unverified
Cross Lingual Sentiment Analysis using Modified BRAE	Sep 1, 2015	Semantic Textual SimilaritySentiment Analysis	—Unverified
A Comparative Study of Different Sentiment Lexica for Sentiment Analysis of Tweets	Sep 1, 2015	Sentiment Analysis	—Unverified
A Multi-lingual Annotated Dataset for Aspect-Oriented Opinion Mining	Sep 1, 2015	Opinion MiningSentiment Analysis	—Unverified
Unsupervised Topic-Specific Domain Dependency Graphs for Aspect Identification in Sentiment Analysis	Sep 1, 2015	Aspect-Based Sentiment Analysis (ABSA)Information Retrieval	—Unverified
Machine Translation Evaluation using Recurrent Neural Networks	Sep 1, 2015	Feature EngineeringMachine Translation	CodeCode Available
Sentiment Analysis on Monolingual, Multilingual and Code-Switching Twitter Corpora	Sep 1, 2015	Language IdentificationLanguage Modelling	—Unverified
Hashtag Recommendation Using Dirichlet Process Mixture Models Incorporating Types of Hashtags	Sep 1, 2015	Sentiment Analysis	—Unverified
Structural Alignment for Comparison Detection	Sep 1, 2015	Semantic Role LabelingSentiment Analysis	—Unverified
Analysing domain suitability of a sentiment lexicon by identifying distributionally bipolar words	Sep 1, 2015	Sentiment Analysis	—Unverified
Learning Better Embeddings for Rare Words Using Distributional Representations	Sep 1, 2015	Sentiment Analysis	—Unverified
Predicting Ratings for New Movie Releases from Twitter Content	Sep 1, 2015	Sentiment Analysis	—Unverified
Towards Opinion Mining from Reviews for the Prediction of Product Rankings	Sep 1, 2015	Opinion MiningSentiment Analysis	—Unverified
Detecting Risks in the Banking System by Sentiment Analysis	Sep 1, 2015	Sentiment Analysis	—Unverified
Deep Convolutional Neural Network Textual Features and Multiple Kernel Learning for Utterance-level Multimodal Sentiment Analysis	Sep 1, 2015	Multimodal Sentiment AnalysisSentiment Analysis	—Unverified
Lingusitic Analysis of Multi-Modal Recurrent Neural Networks	Sep 1, 2015	Sentiment Analysis	—Unverified
Multilingual Affect Polarity and Valence Prediction in Metaphors	Sep 1, 2015	PredictionSentiment Analysis	—Unverified
Synthetic Text Generation for Sentiment Analysis	Sep 1, 2015	Sentiment AnalysisText Generation	—Unverified
How much does word sense disambiguation help in sentiment analysis of micropost data?	Sep 1, 2015	Sentiment AnalysisWord Sense Disambiguation	—Unverified
About Emotion Identification in Visual Sentiment Analysis	Sep 1, 2015	Decision MakingSentiment Analysis	—Unverified
Detecting speculations, contrasts and conditionals in consumer reviews	Sep 1, 2015	Opinion MiningSentiment Analysis	—Unverified
Distributed Representations for Unsupervised Semantic Role Labeling	Sep 1, 2015	Language ModellingMachine Translation	—Unverified
Learning Relationship between Authors' Activity and Sentiments: A case study of online medical forums	Sep 1, 2015	General ClassificationOpinion Mining	—Unverified
ASTD: Arabic Sentiment Tweets Dataset	Sep 1, 2015	Sentiment Analysis	CodeCode Available
A Neural Network Model for Low-Resource Universal Dependency Parsing	Sep 1, 2015	Dependency ParsingDomain Adaptation	—Unverified
Joint Prediction for Entity/Event-Level Sentiment Analysis using Probabilistic Soft Logic Models	Sep 1, 2015	Question AnsweringSentiment Analysis	—Unverified
A quantitative analysis of gender differences in movies using psycholinguistic normatives	Sep 1, 2015	Opinion MiningSentiment Analysis	—Unverified
How Topic Biases Your Results? A Case Study of Sentiment Analysis and Irony Detection in Italian	Sep 1, 2015	Sentiment Analysis	—Unverified
Adjective Intensity and Sentiment Analysis	Sep 1, 2015	Sentiment Analysis	—Unverified
An Exploration of Discourse-Based Sentence Spaces for Compositional Distributional Semantics	Sep 1, 2015	Machine TranslationNatural Language Inference	—Unverified
ReVal: A Simple and Effective Machine Translation Evaluation Metric Based on Recurrent Neural Networks	Sep 1, 2015	Feature EngineeringMachine Translation	CodeCode Available
SLSA: A Sentiment Lexicon for Standard Arabic	Sep 1, 2015	Sentiment Analysis	—Unverified
Extractive Summarization by Aggregating Multiple Similarities	Sep 1, 2015	Document SummarizationExtractive Summarization	—Unverified
Ordering adverbs by their scaling effect on adjective intensity	Sep 1, 2015	ClusteringNatural Language Inference	—Unverified
Identifying Political Sentiment between Nation States with Social Media	Sep 1, 2015	Decision MakingSentiment Analysis	—Unverified
Neural Networks for Open Domain Targeted Sentiment	Sep 1, 2015	Named Entity Recognition (NER)Sentiment Analysis	CodeCode Available
Towards the Extraction of Customer-to-Customer Suggestions from Reviews	Sep 1, 2015	Aspect-Based Sentiment Analysis (ABSA)Opinion Mining	—Unverified
Motivating Personality-aware Machine Translation	Sep 1, 2015	Machine TranslationSentiment Analysis	—Unverified
Document Modeling with Gated Recurrent Neural Network for Sentiment Classification	Sep 1, 2015	ClassificationGeneral Classification	—Unverified
Lexicon-based Sentiment Analysis for Persian Text	Sep 1, 2015	Sentiment Analysis	—Unverified
The Forest Convolutional Network: Compositional Distributional Semantics with a Neural Chart and without Binarization	Sep 1, 2015	BinarizationLanguage Modelling	—Unverified
Connotation in Translation	Sep 1, 2015	Machine TranslationOpinion Mining	—Unverified
Reinforcing the Topic of Embeddings with Theta Pure Dependence for Text Classification	Sep 1, 2015	General ClassificationLanguage Modelling	—Unverified
Types of Aspect Terms in Aspect-Oriented Sentiment Labeling	Sep 1, 2015	Aspect-Based Sentiment Analysis (ABSA)Sentiment Analysis	—Unverified
Exploring Word Embedding for Drug Name Recognition	Sep 1, 2015	Named Entity Recognition (NER)Relation Extraction	—Unverified
Negation Scope Detection for Twitter Sentiment Analysis	Sep 1, 2015	NegationNegation Detection	—Unverified
Pre-Computable Multi-Layer Neural Network Language Models	Sep 1, 2015	Language ModellingMachine Translation	—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