SOTAVerified

General Classification

Algorithms trying to solve the general task of classification.

Papers

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Showing 4826–4850 of 14581 papers

TitleStatusHype
Sentiment and Emotion Classification of Epidemic Related Bilingual data from Social Media—0
Sentiment and Sarcasm Classification with Multitask Learning—0
Sentiment Classification for Movie Reviews in Chinese Using Parsing-based Methods—0
Sentiment Classification in Swahili Language Using Multilingual BERT—0
Sentiment Classification of Arabic Documents: Experiments with multi-type features and ensemble algorithms—0
Sentiment Classification of Customer Reviews about Automobiles in Roman Urdu—0
Sentiment Classification of Food Reviews—0
Sentiment classification of online political discussions: a comparison of a word-based and dependency-based method—0
Sentiment Classification on Polarity Reviews: An Empirical Study Using Rating-based Features—0
Sentiment Classification towards Question-Answering with Hierarchical Matching Network—0
Sentiment Classification using Images and Label Embeddings—0
Sentiment Classification using N-gram IDF and Automated Machine Learning—0
Sentiment Classification using Rough Set based Hybrid Feature Selection—0
Sentiment Classification via a Response Recalibration Framework—0
Sentiment Classification with Graph Co-Regularization—0
Sentiment Classification with Word Attention based on Weakly Supervised Learning with a Convolutional Neural Network—0
Sentiment Domain Adaptation with Multiple Sources—0
Sentiment Expression Boundaries in Sentiment Polarity Classification—0
Sentiment Lexicon Expansion Based on Neural PU Learning, Double Dictionary Lookup, and Polarity Association—0
Sentiment Lexicon Interpolation and Polarity Estimation of Objective and Out-Of-Vocabulary Words to Improve Sentiment Classification on Microblogging—0
Sentiment Polarity Detection in Azerbaijani Social News Articles—0
Sentiment Recognition in Egocentric Photostreams—0
SentiNLP at IJCNLP-2017 Task 4: Customer Feedback Analysis Using a Bi-LSTM-CNN Model—0
Senti.ue: Tweet Overall Sentiment Classification Approach for SemEval-2014 Task 9—0
Separable and non-separable data representation for pattern discrimination—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1KNNAccuracy93.1—Unverified
2RFAccuracy92.96—Unverified
3CARTAccuracy92.82—Unverified
4LDAAccuracy77.22—Unverified
#ModelMetricClaimedVerifiedStatus
1MONT3Accuracy100—Unverified
2XBNETAccuracy100—Unverified
#ModelMetricClaimedVerifiedStatus
1CAEAccuracy42—Unverified
#ModelMetricClaimedVerifiedStatus
1CAEAccuracy67.7—Unverified
#ModelMetricClaimedVerifiedStatus
1CAEAccuracy68.5—Unverified
#ModelMetricClaimedVerifiedStatus
1CAEAccuracy13.4—Unverified
#ModelMetricClaimedVerifiedStatus
1CAEAccuracy90.6—Unverified
#ModelMetricClaimedVerifiedStatus
1MONT3Accuracy100—Unverified