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 50015050 of 5630 papers

TitleStatusHype
Effective Use of Word Order for Text Categorization with Convolutional Neural NetworksCode0
LABR: A Large Scale Arabic Sentiment Analysis BenchmarkCode0
Visual Sentiment Prediction with Deep Convolutional Neural Networks0
The Effect of Temporal-based Term Selection for Text Classification0
Sentiment Analysis based on User Tag for Traditional Chinese Medicine in Weibo0
Polarization Measurement of High Dimensional Social Media Messages With Support Vector Machine Algorithm Using Mapreduce0
A Scalable, Lexicon Based Technique for Sentiment Analysis0
Corpora Preparation and Stopword List Generation for Arabic data in Social Network0
A Supervised Approach for Sentiment Analysis using Skipgrams0
Learning from a Neighbor: Adapting a Japanese Parser for Korean Through Feature Transfer Learning0
Predicting Attrition Along the Way: The UIUC Model0
Foreign Words and the Automatic Processing of Arabic Social Media Text Written in Roman Script0
A Large Scale Arabic Sentiment Lexicon for Arabic Opinion Mining0
Evaluating Distant Supervision for Subjectivity and Sentiment Analysis on Arabic Twitter Feeds0
Clustering Aspect-related Phrases by Leveraging Sentiment Distribution Consistency0
Event Role Extraction using Domain-Relevant Word Representations0
Sentiment Analysis on the People's Daily0
Abstractive Summarization of Product Reviews Using Discourse Structure0
The Inside-Outside Recursive Neural Network model for Dependency Parsing0
+/-EffectWordNet: Sense-level Lexicon Acquisition for Opinion Inference0
Aligning context-based statistical models of language with brain activity during reading0
Explaining the Stars: Weighted Multiple-Instance Learning for Aspect-Based Sentiment Analysis0
A Dependency Parser for Tweets0
Exploiting Social Relations and Sentiment for Stock Prediction0
A Neural Network for Factoid Question Answering over Paragraphs0
Financial Keyword Expansion via Continuous Word Vector Representations0
A Sentiment-aligned Topic Model for Product Aspect Rating Prediction0
Fine-Grained Contextual Predictions for Hard Sentiment Words0
Learning Emotion Indicators from Tweets: Hashtags, Hashtag Patterns, and Phrases0
Positive Unlabeled Learning for Deceptive Reviews Detection0
A Joint Segmentation and Classification Framework for Sentiment Analysis0
Polarity detection movie reviews in hindi language0
Exploiting Social Network Structure for Person-to-Person Sentiment Analysis0
Feature-Frequency--Adaptive On-line Training for Fast and Accurate Natural Language Processing0
Convolutional Neural Networks for Sentence ClassificationCode1
Hybrid Deep Belief Networks for Semi-supervised Sentiment Classification0
Learning to Distinguish Hypernyms and Co-HyponymsCode0
Reducing Over-Weighting in Supervised Term Weighting for Sentiment Analysis0
Discovering Topical Aspects in Microblogs0
Modeling Review Argumentation for Robust Sentiment Analysis0
A context-based model for Sentiment Analysis in Twitter0
Interpretation of Chinese Discourse Connectives for Explicit Discourse Relation Recognition0
A Generative Model for Identifying Target Companies of Microblogs0
Identifying Emotion Labels from Psychiatric Social Texts Using Independent Component Analysis0
Chinese Irony Corpus Construction and Ironic Structure Analysis0
3arif: A Corpus of Modern Standard and Egyptian Arabic Tweets Annotated for Epistemic Modality Using Interactive Crowdsourcing0
Sentence Compression for Target-Polarity Word Collocation Extraction0
Common Space Embedding of Primal-Dual Relation Semantic Spaces0
Sentiment Classification with Graph Co-Regularization0
Time-aware Personalized Hashtag Recommendation on Social Media0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Word+ES (Scratch)Attack Success Rate100Unverified
2T5-11BAccuracy97.5Unverified
3MT-DNN-SMARTAccuracy97.5Unverified
4T5-3BAccuracy97.4Unverified
5MUPPET Roberta LargeAccuracy97.4Unverified
6StructBERTRoBERTa ensembleAccuracy97.1Unverified
7ALBERTAccuracy97.1Unverified
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