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Sentiment Analysis On Banglabook

Metriken

Weighted Average F1-score

Ergebnisse

Leistungsergebnisse verschiedener Modelle zu diesem Benchmark

Modellname
Weighted Average F1-score
Paper TitleRepository
Logistic Regression (word 2-gram + word 3-gram)0.8964BanglaBook: A Large-scale Bangla Dataset for Sentiment Analysis from Book Reviews
Random Forest (word 1-gram)0.9043BanglaBook: A Large-scale Bangla Dataset for Sentiment Analysis from Book Reviews
Bangla-BERT (base-uncased)0.9064BanglaBook: A Large-scale Bangla Dataset for Sentiment Analysis from Book Reviews
XGBoost (word 2-gram + word 3-gram)0.8651BanglaBook: A Large-scale Bangla Dataset for Sentiment Analysis from Book Reviews
Random Forest (word 2-gram + word 3-gram)0.9106BanglaBook: A Large-scale Bangla Dataset for Sentiment Analysis from Book Reviews
LSTM (GloVe)0.0991BanglaBook: A Large-scale Bangla Dataset for Sentiment Analysis from Book Reviews
Multinomial NB (word 2-gram + word 3-gram)0.8663BanglaBook: A Large-scale Bangla Dataset for Sentiment Analysis from Book Reviews
Multinomial NB (BoW)0.8564BanglaBook: A Large-scale Bangla Dataset for Sentiment Analysis from Book Reviews
Bangla-BERT (large)0.9331BanglaBook: A Large-scale Bangla Dataset for Sentiment Analysis from Book Reviews
Logistic Regression (char 2-gram + char 3-gram)0.8978BanglaBook: A Large-scale Bangla Dataset for Sentiment Analysis from Book Reviews
SVM (word 1-gram)0.8519BanglaBook: A Large-scale Bangla Dataset for Sentiment Analysis from Book Reviews
SVM (word 2-gram + word 3-gram)0.9053BanglaBook: A Large-scale Bangla Dataset for Sentiment Analysis from Book Reviews
XGBoost (char 2-gram + char 3-gram)0.8723BanglaBook: A Large-scale Bangla Dataset for Sentiment Analysis from Book Reviews
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