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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 4501–4550 of 5630 papers

TitleStatusHype
A Novel Context-Aware Multimodal Framework for Persian Sentiment Analysis—0
A Novel Counterfactual Data Augmentation Method for Aspect-Based Sentiment Analysis—0
A Novel Deep Learning Method for Textual Sentiment Analysis—0
A Novel Deep Reinforcement Learning Based Stock Direction Prediction using Knowledge Graph and Community Aware Sentiments—0
A Novel Ensemble Deep Learning Model for Stock Prediction Based on Stock Prices and News—0
A Novel Sentiment Analysis Engine for Preliminary Depression Status Estimation on Social Media—0
A Novel Twitter Sentiment Analysis Model with Baseline Correlation for Financial Market Prediction with Improved Efficiency—0
A Novel Way of Identifying Cyber Predators—0
Anti-Asian Hate Speech Detection via Data Augmented Semantic Relation Inference—0
An Unsupervised Multi-Document Summarization Framework Based on Neural Document Model—0
Any-gram Kernels for Sentence Classification: A Sentiment Analysis Case Study—0
A Panoramic Survey of Natural Language Processing in the Arab World—0
A Perspective on Sentiment Analysis—0
A Piece of My Mind: A Sentiment Analysis Approach for Online Dispute Detection—0
A Pilot Study of Hindustani Music Sentiments—0
A Position Aware Decay Weighted Network for Aspect based Sentiment Analysis—0
Application and Analysis of a Multi-layered Scheme for Irony on the Italian Twitter Corpus TWITTIR\`O—0
Application of Liquid Rank Reputation System for Twitter Trend Analysis on Bitcoin—0
Application of Multiple Chain-of-Thought in Contrastive Reasoning for Implicit Sentiment Analysis—0
Applications and Challenges of Sentiment Analysis in Real-life Scenarios—0
Applications of Nature-Inspired Algorithms for Dimension Reduction: Enabling Efficient Data Analytics—0
Applying BERT and ChatGPT for Sentiment Analysis of Lyme Disease in Scientific Literature—0
Applying LLMs to Active Learning: Towards Cost-Efficient Cross-Task Text Classification without Manually Labeled Data—0
Applying Naive Bayes Classification to Google Play Apps Categorization—0
Applying News and Media Sentiment Analysis for Generating Forex Trading Signals—0
Applying Transformers and Aspect-based Sentiment Analysis approaches on Sarcasm Detection—0
Approaches for Sentiment Analysis on Twitter: A State-of-Art study—0
Approximate Conditional Coverage & Calibration via Neural Model Approximations—0
A Precisely Xtreme-Multi Channel Hybrid Approach For Roman Urdu Sentiment Analysis—0
A Pretrained YouTuber Embeddings for Improving Sentiment Classification of YouTube Comments—0
A Probabilistic Framework for Analyzing Moral Perspectives in the COVID-19 Vaccine Debate—0
A Probabilistic Model for Joint Learning of Word Embeddings from Texts and Images—0
A Quality-based Active Sample Selection Strategy for Statistical Machine Translation—0
A quantitative analysis of gender differences in movies using psycholinguistic normatives—0
ARAACOM: ARAbic Algerian Corpus for Opinion Mining—0
ArabianGPT: Native Arabic GPT-based Large Language Model—0
Arabic aspect based sentiment analysis using bidirectional GRU based models—0
Arabic aspect sentiment polarity classification using BERT—0
Arabic Emoji Sentiment Lexicon (Arab-ESL): A Comparison between Arabic and European Emoji Sentiment Lexicons—0
Arabic Language Sentiment Analysis on Health Services—0
Arabic Metaphor Sentiment Classification Using Semantic Information—0
Arabic Opinion Mining Using a Hybrid Recommender System Approach—0
Arabic Sentiment Analysis with Noisy Deep Explainable Model—0
Arabic Text Sentiment Analysis: Reinforcing Human-Performed Surveys with Wider Topic Analysis—0
Arabic Tweet Act: A Weighted Ensemble Pre-Trained Transformer Model for Classifying Arabic Speech Acts on Twitter—0
Arabizi Identification in Twitter Data—0
Arabizi Language Models for Sentiment Analysis—0
Arabizi sentiment analysis based on transliteration and automatic corpus annotation—0
AraPoemBERT: A Pretrained Language Model for Arabic Poetry Analysis—0
AraReasoner: Evaluating Reasoning-Based LLMs for Arabic NLP—0
Show:102550
← PrevPage 91 of 113Next →
All datasetsSST-2 Binary classificationIMDbSST-5 Fine-grained classificationYelp Binary classificationMRYelp Fine-grained classificationBanglaBookDynaSentSST-3Sentiment MergedUser and product informationAmazon Review Full

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Word+ES (Scratch)Attack Success Rate100—Unverified
2MT-DNN-SMARTAccuracy97.5—Unverified
3T5-11BAccuracy97.5—Unverified
4MUPPET Roberta LargeAccuracy97.4—Unverified
5T5-3BAccuracy97.4—Unverified
6ALBERTAccuracy97.1—Unverified
7StructBERTRoBERTa ensembleAccuracy97.1—Unverified
8XLNet (single model)Accuracy97—Unverified
9SMARTRoBERTaDev Accuracy96.9—Unverified
10ELECTRAAccuracy96.9—Unverified
#ModelMetricClaimedVerifiedStatus
1RoBERTa-large with LlamBERTAccuracy96.68—Unverified
2RoBERTa-largeAccuracy96.54—Unverified
3XLNetAccuracy96.21—Unverified
4Heinsen Routing + RoBERTa LargeAccuracy96.2—Unverified
5RoBERTa-large 355M + Entailment as Few-shot LearnerAccuracy96.1—Unverified
6GraphStarAccuracy96—Unverified
7DV-ngrams-cosine with NB sub-sampling + RoBERTa.baseAccuracy95.94—Unverified
8DV-ngrams-cosine + RoBERTa.baseAccuracy95.92—Unverified
9Roberta_Large ST + Cosine Similarity LossAccuracy95.9—Unverified
10BERT large finetune UDAAccuracy95.8—Unverified
#ModelMetricClaimedVerifiedStatus
1Llama-3.3-70B + CAPOAccuracy62.27—Unverified
2Mistral-Small-24B + CAPOAccuracy 60.2—Unverified
3Heinsen Routing + RoBERTa LargeAccuracy59.8—Unverified
4RoBERTa-large+Self-ExplainingAccuracy59.1—Unverified
5Qwen2.5-32B + CAPOAccuracy 59.07—Unverified
6Heinsen Routing + GPT-2Accuracy58.5—Unverified
7BCN+Suffix BiLSTM-Tied+CoVeAccuracy56.2—Unverified
8BERT LargeAccuracy55.5—Unverified
9LM-CPPF RoBERTa-baseAccuracy54.9—Unverified
10BCN+ELMoAccuracy54.7—Unverified
#ModelMetricClaimedVerifiedStatus
1Char-level CNNError4.88—Unverified
2SVDCNNError4.74—Unverified
3LEAMError4.69—Unverified
4fastText, h=10, bigramError4.3—Unverified
5SWEM-hierError4.19—Unverified
6SRNNError3.96—Unverified
7M-ACNNError3.89—Unverified
8DNC+CUWError3.6—Unverified
9CCCapsNetError3.52—Unverified
10Block-sparse LSTMError3.27—Unverified
#ModelMetricClaimedVerifiedStatus
1Millions of EmojiTraining Time1,500—Unverified
2VLAWEAccuracy93.3—Unverified
3RoBERTa-large 355M + Entailment as Few-shot LearnerAccuracy92.5—Unverified
4AnglE-LLaMA-7BAccuracy91.09—Unverified
5byte mLSTM7Accuracy86.8—Unverified
6MEANAccuracy84.5—Unverified
7RNN-CapsuleAccuracy83.8—Unverified
8Capsule-BAccuracy82.3—Unverified
9SuBiLSTM-TiedAccuracy81.6—Unverified
10USE_T+CNNAccuracy81.59—Unverified