E-commerce Reviews Classification

Dataset

This repo contains several notebooks:

EDA contains visualizations and analysis gathered from the dataset.
TF-IDF_Random_Forest.ipynb includes a RF model trained on TF-IDF and optimized with grid-search.
Create_Balanced_Dataset.ipynb cleans and balances the dataset using two different methods: resampling and text augmentation.
LSTM_Models_And_Attack.ipynb trains an LSTM neural network and evaluates its performance after a textual adversarial attack.
ASBA.ipynb demonstrates aspect-based sentiment prediction to find relevant business insights.

Name		Name	Last commit message	Last commit date
Latest commit History 26 Commits
Datasets		Datasets
Images		Images
ASBA.ipynb		ASBA.ipynb
Create_Balanced_Dataset.ipynb		Create_Balanced_Dataset.ipynb
EDA.ipynb		EDA.ipynb
LSTM_Models_And_Attack.ipynb		LSTM_Models_And_Attack.ipynb
README.md		README.md
TF-IDF_Random_Forest.ipynb		TF-IDF_Random_Forest.ipynb