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 49515000 of 5630 papers

TitleStatusHype
Comparing methods for Twitter Sentiment Analysis0
Corpus-based discovery of semantic intensity scales0
Word Embedding-based Antonym Detection using Thesauri and Distributional Information0
Is Your Anchor Going Up or Down? Fast and Accurate Supervised Topic Models0
Social Media Predictive Analytics0
Sentiment analysis on conversational texts0
Do We Really Need Lexical Information? Towards a Top-down Approach to Sentiment Analysis of Product Reviews0
Good News or Bad News: Using Affect Control Theory to Analyze Readers' Reaction Towards News Articles0
MPQA 3.0: An Entity/Event-Level Sentiment Corpus0
Sentiment after Translation: A Case-Study on Arabic Social Media Posts0
Simple task-specific bilingual word embeddings0
LCCT: A Semi-supervised Model for Sentiment Classification0
Subsentential Sentiment on a Shoestring: A Crosslingual Analysis of Compositional Classification0
On the Automatic Learning of Sentiment Lexicons0
Reserating the awesometastic: An automatic extension of the WordNet taxonomy for novel terms0
Review Mining for Feature Based Opinion Summarization and Visualization0
Egyptian Dialect Stopword List Generation from Social Network Data0
Semi-supervised Convolutional Neural Networks for Text Categorization via Region Embedding0
Discriminative Neural Sentence Modeling by Tree-Based Convolution0
Automatic Noun Compound Interpretation using Deep Neural Networks and Word Embeddings0
Curse or Boon? Presence of Subjunctive Mood in Opinionated Text0
Measuring Software Quality in Use: State-of-the-Art and Research Challenges0
Bayesian Optimization of Text Representations0
Cross-lingual Sentiment Lexicon Learning With Bilingual Word Graph Label Propagation0
When Are Tree Structures Necessary for Deep Learning of Representations?0
Improved Semantic Representations From Tree-Structured Long Short-Term Memory NetworksCode0
On predictability of rare events leveraging social media: a machine learning perspective0
Boost Phrase-level Polarity Labelling with Review-level Sentiment Classification0
Representation Learning for Aspect Category Detection in Online Reviews0
Text Understanding from ScratchCode0
Towards Resolving Software Quality-in-Use Measurement Challenges0
Towards Deep Semantic Analysis Of Hashtags0
Combining Minimally-supervised Methods for Arabic Named Entity Recognition0
One Vector is Not Enough: Entity-Augmented Distributed Semantics for Discourse Relations0
Construction of Vietnamese SentiWordNet by using Vietnamese Dictionary0
Persian Sentiment Analyzer: A Framework based on a Novel Feature Selection Method0
Modeling Compositionality with Multiplicative Recurrent Neural Networks0
N-gram-Based Low-Dimensional Representation for Document Classification0
Ensemble of Generative and Discriminative Techniques for Sentiment Analysis of Movie ReviewsCode0
Learning with Pseudo-Ensembles0
Rule-based Emotion Detection on Social Media: Putting Tweets on Plutchik's Wheel0
Domain-Adversarial Neural NetworksCode0
Recurrent-Neural-Network for Language Detection on Twitter Code-Switching Corpus0
Recognition of Sarcasms in Tweets Based on Concept Level Sentiment Analysis and Supervised Learning ApproachesCode0
A Sentiment Analyzer for Hindi Using Hindi Senti Lexicon0
Taking Antonymy Mask off in Vector Space0
Sentiment Lexicon Interpolation and Polarity Estimation of Objective and Out-Of-Vocabulary Words to Improve Sentiment Classification on Microblogging0
How Sentiment Analysis Can Help Machine Translation0
Global Belief Recursive Neural Networks0
Deep Recursive Neural Networks for Compositionality in Language0
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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