hmohebbi / SentimentAnalysis

(BOW, TF-IDF, Word2Vec, BERT) Word Embeddings + (SVM, Naive Bayes, Decision Tree, Random Forest) Base Classifiers + Pre-trained BERT on Tensorflow Hub + 1-D CNN and Bi-Directional LSTM on IMDB Movie Reviews Dataset

SentimentAnalysis

(BOW, TF-IDF, Word2Vec, BERT) Word Embeddings + (SVM, Naive Bayes, Decision Tree, Random Forest) Base Classifiers + Pre-trained BERT on Tensorflow Hub + 1-D CNN and Bi-Directional LSTM on IMDB Movie Reviews Dataset

Results for Base Classifiers

Rank	Word Embedding	Classifier	Accuracy	F1-Score
1	BERT Sentence Version (Mean Bert Features per Review)	SVM	90.35	0.90
2	BERT Sentence Version (Mean Bert Features per Review)	MLP	90.32	0.90
3	TFIDF with Stop Words	SVM	89.59	0.90

Results for Deep Neural Networks

Rank	Word Embedding	Model	Accuracy
1	BERT TensorFlow-HUB	Bi-Directional LSTM	91.34
2	BERT Sentence Version (Mean Bert Features per Review)	1-D CNN	85.46