DSA Project Research
Machine Learning Models
Model 1 : Logistic Regression Accuracy of 94.06% (often ovefits so we implemented SVM)
Model 2 : Logistic Regression with Supervised Machine Learning Accuracy 85.04%
Deep Learning Model Model 1 : Uses simple feedforward architecture with an Embedding layer followed by GlobalAveragePooling1D and Dense layers.
Transformer Based Models Model 1 : Using BERT, R&D phase
Pre Trained Model Vader Model 1 : To Compare Results with self trained models