SOTAVerified

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.

Further readings:

Papers

Showing 17511800 of 5630 papers

TitleStatusHype
Multimodal Representations Learning Based on Mutual Information Maximization and Minimization and Identity Embedding for Multimodal Sentiment Analysis0
BERT for Sentiment Analysis: Pre-trained and Fine-Tuned AlternativesCode0
Latency Adjustable Transformer Encoder for Language Understanding0
Semantic and sentiment analysis of selected Bhagavad Gita translations using BERT-based language frameworkCode0
Fortunately, Discourse Markers Can Enhance Language Models for Sentiment AnalysisCode0
Auto-ABSA: Cross-Domain Aspect Detection and Sentiment Analysis Using Auxiliary SentencesCode0
Monitoring Energy Trends through Automatic Information Extraction0
DigNet: Digging Clues from Local-Global Interactive Graph for Aspect-level Sentiment Classification0
Sentiment Analysis and Sarcasm Detection of Indian General Election Tweets0
AI & Racial Equity: Understanding Sentiment Analysis Artificial Intelligence, Data Security, and Systemic Theory in Criminal Justice Systems0
Robust Natural Language Processing: Recent Advances, Challenges, and Future Directions0
Understanding Public Opinion on Using Hydroxychloroquine for COVID-19 Treatment via Social MediaCode0
A Deep Learning Approach to Integrate Human-Level Understanding in a Chatbot0
Domain Adaptation with Category Attention Network for Deep Sentiment Analysis0
Contextual Sentence Analysis for the Sentiment Prediction on Financial Data0
Distilling the Knowledge of Romanian BERTs Using Multiple TeachersCode0
Making sense of electrical vehicle discussions using sentiment analysis on closely related news and user comments0
How Should Pre-Trained Language Models Be Fine-Tuned Towards Adversarial Robustness?Code1
Continual Learning with Knowledge Transfer for Sentiment ClassificationCode1
Is syntax structure modeling worth? Leveraging pattern-driven modeling to enable affordable sentiment dependency learning0
A Survey on Stance Detection for Mis- and Disinformation Identification0
A Novel Approach for Enhancing Sentiment Classification of Persian Reviews Using Convolutional Neural Network and Majority Voting ClassifierCode0
Explainable Natural Language Processing with Matrix Product States0
Khmer Text Classification Using Word Embedding and Neural Networks0
Detecting Emotion Carriers by Combining Acoustic and Lexical Representations0
Predicting Above-Sentence Discourse Structure using Distant Supervision from Topic Segmentation0
Quantifying and Understanding Adversarial Examples in Discrete Input Spaces0
Sentiment Analysis on Brazilian Portuguese User Reviews0
Opinion Extraction as A Structured Sentiment Analysis using Transformers0
Zero-shot hashtag segmentation for multilingual sentiment analysisCode1
Adapting BERT for Continual Learning of a Sequence of Aspect Sentiment Classification Tasks0
DIBERT: Dependency Injected Bidirectional Encoder Representations from TransformersCode0
CLASSIC: Continual and Contrastive Learning of Aspect Sentiment Classification Tasks0
Open Vocabulary Electroencephalography-To-Text Decoding and Zero-shot Sentiment ClassificationCode1
Achieving Forgetting Prevention and Knowledge Transfer in Continual Learning0
Exploratory Data Analysis of Urdu Poetry0
Emotions are Subtle: Learning Sentiment Based Text Representations Using Contrastive Learning0
ScaleVLAD: Improving Multimodal Sentiment Analysis via Multi-Scale Fusion of Locally Descriptors0
The Validity of Lexicon-based Sentiment Analysis in Interdisciplinary Research0
IndicFed: A Federated Approach for Sentiment Analysis in Indic Languages0
Sentiment Analysis For Bengali Using Transformer Based Models0
A Pretrained YouTuber Embeddings for Improving Sentiment Classification of YouTube Comments0
Seeking Sinhala Sentiment: Predicting Facebook Reactions of Sinhala Posts0
Empirical evaluation of shallow and deep learning classifiers for Arabic sentiment analysis0
Generalizable Multi-linear Attention Network0
Sentiment Analysis and Effect of COVID-19 Pandemic using College SubReddit DataCode0
Adversarial Training for a Hybrid Approach to Aspect-Based Sentiment AnalysisCode0
Customer Sentiment Analysis using Weak Supervision for Customer-Agent Chat0
FastTrees: Parallel Latent Tree-Induction for Faster Sequence EncodingCode0
Topic Driven Adaptive Network for Cross-Domain Sentiment Classification0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Word+ES (Scratch)Attack Success Rate100Unverified
2MT-DNN-SMARTAccuracy97.5Unverified
3T5-11BAccuracy97.5Unverified
4MUPPET Roberta LargeAccuracy97.4Unverified
5T5-3BAccuracy97.4Unverified
6ALBERTAccuracy97.1Unverified
7StructBERTRoBERTa ensembleAccuracy97.1Unverified
8XLNet (single model)Accuracy97Unverified
9SMARTRoBERTaDev Accuracy96.9Unverified
10ELECTRAAccuracy96.9Unverified
#ModelMetricClaimedVerifiedStatus
1RoBERTa-large with LlamBERTAccuracy96.68Unverified
2RoBERTa-largeAccuracy96.54Unverified
3XLNetAccuracy96.21Unverified
4Heinsen Routing + RoBERTa LargeAccuracy96.2Unverified
5RoBERTa-large 355M + Entailment as Few-shot LearnerAccuracy96.1Unverified
6GraphStarAccuracy96Unverified
7DV-ngrams-cosine with NB sub-sampling + RoBERTa.baseAccuracy95.94Unverified
8DV-ngrams-cosine + RoBERTa.baseAccuracy95.92Unverified
9Roberta_Large ST + Cosine Similarity LossAccuracy95.9Unverified
10BERT large finetune UDAAccuracy95.8Unverified
#ModelMetricClaimedVerifiedStatus
1Llama-3.3-70B + CAPOAccuracy62.27Unverified
2Mistral-Small-24B + CAPOAccuracy 60.2Unverified
3Heinsen Routing + RoBERTa LargeAccuracy59.8Unverified
4RoBERTa-large+Self-ExplainingAccuracy59.1Unverified
5Qwen2.5-32B + CAPOAccuracy 59.07Unverified
6Heinsen Routing + GPT-2Accuracy58.5Unverified
7BCN+Suffix BiLSTM-Tied+CoVeAccuracy56.2Unverified
8BERT LargeAccuracy55.5Unverified
9LM-CPPF RoBERTa-baseAccuracy54.9Unverified
10BCN+ELMoAccuracy54.7Unverified
#ModelMetricClaimedVerifiedStatus
1Char-level CNNError4.88Unverified
2SVDCNNError4.74Unverified
3LEAMError4.69Unverified
4fastText, h=10, bigramError4.3Unverified
5SWEM-hierError4.19Unverified
6SRNNError3.96Unverified
7M-ACNNError3.89Unverified
8DNC+CUWError3.6Unverified
9CCCapsNetError3.52Unverified
10Block-sparse LSTMError3.27Unverified
#ModelMetricClaimedVerifiedStatus
1Millions of EmojiTraining Time1,500Unverified
2VLAWEAccuracy93.3Unverified
3RoBERTa-large 355M + Entailment as Few-shot LearnerAccuracy92.5Unverified
4AnglE-LLaMA-7BAccuracy91.09Unverified
5byte mLSTM7Accuracy86.8Unverified
6MEANAccuracy84.5Unverified
7RNN-CapsuleAccuracy83.8Unverified
8Capsule-BAccuracy82.3Unverified
9SuBiLSTM-TiedAccuracy81.6Unverified
10USE_T+CNNAccuracy81.59Unverified