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 3601–3650 of 5630 papers

Title	Date	Tasks	Status
Sentiment Analysis using Imperfect Views from Spoken Language and Acoustic Modalities	Jul 1, 2018	Automatic Speech Recognition (ASR)General Classification	—Unverified
Identifying Transferable Information Across Domains for Cross-domain Sentiment Classification	Jul 1, 2018	ClassificationDomain Adaptation	—Unverified
Unsupervised Source Hierarchies for Low-Resource Neural Machine Translation	Jul 1, 2018	Low Resource Neural Machine TranslationLow-Resource Neural Machine Translation	—Unverified
Will it Blend? Blending Weak and Strong Labeled Data in a Neural Network for Argumentation Mining	Jul 1, 2018	Information RetrievalNatural Language Understanding	—Unverified
Recursive Neural Structural Correspondence Network for Cross-domain Aspect and Opinion Co-Extraction	Jul 1, 2018	Domain AdaptationExtract Aspect	—Unverified
Economic Event Detection in Company-Specific News Text	Jul 1, 2018	ArticlesBIG-bench Machine Learning	—Unverified
A Helping Hand: Transfer Learning for Deep Sentiment Analysis	Jul 1, 2018	General ClassificationSentiment Analysis	—Unverified
Multi-glance Reading Model for Text Understanding	Jul 1, 2018	Document ClassificationMachine Translation	—Unverified
Personalized Review Generation By Expanding Phrases and Attending on Aspect-Aware Representations	Jul 1, 2018	DecoderRecommendation Systems	CodeCode Available
Incorporating Latent Meanings of Morphological Compositions to Enhance Word Embeddings	Jul 1, 2018	General ClassificationInformation Retrieval	CodeCode Available
Learning with Structured Representations for Negation Scope Extraction	Jul 1, 2018	NegationSentiment Analysis	—Unverified
Word Embedding and WordNet Based Metaphor Identification and Interpretation	Jul 1, 2018	Decision MakingMachine Translation	—Unverified
Disconnected Recurrent Neural Networks for Text Categorization	Jul 1, 2018	PositionSentiment Analysis	—Unverified
Two Methods for Domain Adaptation of Bilingual Tasks: Delightfully Simple and Broadly Applicable	Jul 1, 2018	Bilingual Lexicon InductionClassification	CodeCode Available
Twitter Universal Dependency Parsing for African-American and Mainstream American English	Jul 1, 2018	Dependency ParsingInformation Retrieval	—Unverified
Subword-level Word Vector Representations for Korean	Jul 1, 2018	Document ClassificationLanguage Modeling	CodeCode Available
Searching for the X-Factor: Exploring Corpus Subjectivity for Word Embeddings	Jul 1, 2018	General ClassificationSentence	—Unverified
CNN for Text-Based Multiple Choice Question Answering	Jul 1, 2018	Multiple-choiceQuestion Answering	CodeCode Available
Model-Level Dual Learning	Jul 1, 2018	Machine Translationmodel	—Unverified
Modeling discourse cohesion for discourse parsing via memory network	Jul 1, 2018	Discourse ParsingQuestion Answering	—Unverified
A Deep Relevance Model for Zero-Shot Document Filtering	Jul 1, 2018	Sentiment AnalysisText Classification	CodeCode Available
Cross-Domain Sentiment Classification with Target Domain Specific Information	Jul 1, 2018	ClassificationGeneral Classification	—Unverified
DNN Multimodal Fusion Techniques for Predicting Video Sentiment	Jul 1, 2018	feature selectionMultimodal Sentiment Analysis	—Unverified
Implicit and Explicit Aspect Extraction in Financial Microblogs	Jul 1, 2018	Aspect-Based Sentiment AnalysisAspect-Based Sentiment Analysis (ABSA)	—Unverified
Mining Cross-Cultural Differences and Similarities in Social Media	Jul 1, 2018	Machine TranslationNatural Language Understanding	—Unverified
Target-Sensitive Memory Networks for Aspect Sentiment Classification	Jul 1, 2018	Aspect-Based Sentiment Analysis (ABSA)Classification	—Unverified
Language Modeling for Code-Mixing: The Role of Linguistic Theory based Synthetic Data	Jul 1, 2018	Automatic Speech Recognition (ASR)Language Identification	—Unverified
Modeling Sentiment Association in Discourse for Humor Recognition	Jul 1, 2018	Common Sense ReasoningSentiment Analysis	—Unverified
Disambiguating False-Alarm Hashtag Usages in Tweets for Irony Detection	Jul 1, 2018	Opinion MiningSentiment Analysis	—Unverified
Modeling Mistrust in End-of-Life Care	Jun 30, 2018	BIG-bench Machine LearningSentiment Analysis	CodeCode Available
Enhancing Sentence Embedding with Generalized Pooling	Jun 26, 2018	Author ProfilingGeneral Classification	CodeCode Available
Combination of Domain Knowledge and Deep Learning for Sentiment Analysis	Jun 22, 2018	Deep LearningSentiment Analysis	—Unverified
Using J-K fold Cross Validation to Reduce Variance When Tuning NLP Models	Jun 19, 2018	Document ClassificationGeneral Classification	CodeCode Available
Aspect Sentiment Classification with both Word-level and Clause-level AttentionNetworks	Jun 17, 2018	General ClassificationSentence	—Unverified
An Improved Text Sentiment Classification Model Using TF-IDF and Next Word Negation	Jun 17, 2018	ClassificationGeneral Classification	—Unverified
Multimodal Sentiment Analysis using Hierarchical Fusion with Context Modeling	Jun 16, 2018	Multimodal Emotion RecognitionMultimodal Sentiment Analysis	CodeCode Available
Aspect Sentiment Model for Micro Reviews	Jun 14, 2018	Aspect-Based Sentiment AnalysisAspect-Based Sentiment Analysis (ABSA)	CodeCode Available
GLoMo: Unsupervisedly Learned Relational Graphs as Transferable Representations	Jun 14, 2018	image-classificationImage Classification	CodeCode Available
Bringing replication and reproduction together with generalisability in NLP: Three reproduction studies for Target Dependent Sentiment Analysis	Jun 13, 2018	Sentiment Analysis	CodeCode Available
Highly Relevant Routing Recommendation Systems for Handling Few Data Using MDL Principle and Embedded Relevance Boosting Factors	Jun 13, 2018	ClassificationGeneral Classification	—Unverified
Crowd-Powered Data Mining	Jun 13, 2018	ClusteringGeneral Classification	—Unverified
Projecting Embeddings for Domain Adaptation: Joint Modeling of Sentiment Analysis in Diverse Domains	Jun 12, 2018	Domain AdaptationSentiment Analysis	CodeCode Available
Exploiting Document Knowledge for Aspect-level Sentiment Classification	Jun 12, 2018	Aspect-Based Sentiment Analysis (ABSA)Classification	CodeCode Available
An Ensemble Model for Sentiment Analysis of Hindi-English Code-Mixed Data	Jun 12, 2018	Sentiment Analysis	—Unverified
Addition of Code Mixed Features to Enhance the Sentiment Prediction of Song Lyrics	Jun 11, 2018	Language IdentificationOpinion Mining	—Unverified
Cross-Lingual Task-Specific Representation Learning for Text Classification in Resource Poor Languages	Jun 10, 2018	ClassificationGeneral Classification	—Unverified
Multilingual Sentiment Analysis: An RNN-Based Framework for Limited Data	Jun 8, 2018	Sentiment AnalysisWord Embeddings	—Unverified
Semi-supervised and Transfer learning approaches for low resource sentiment classification	Jun 7, 2018	ClassificationGeneral Classification	—Unverified
Multimodal Relational Tensor Network for Sentiment and Emotion Classification	Jun 7, 2018	ClassificationEmotion Classification	—Unverified
Emoji-Powered Representation Learning for Cross-Lingual Sentiment Classification	Jun 7, 2018	ClassificationCross-Lingual Sentiment Classification	CodeCode Available

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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