A pipeline to train NLP text classifier using RNN and LSTM.

1. EDA
2. Data visualisation
3. Data Preproc: cleaning + remove imbalances
4. Tokenization and Vectorization
5. Model building and training
6. Model prediction and benchmarking

Google colab notebook: https://colab.research.google.com/drive/1AzSFk4dSYULvLT7Ja-GMVd8ENVF2ENL0?usp=sharing

Original Kaggle notebook: Reference: https://www.kaggle.com/code/avikumart/nlp-news-articles-classif-wordembeddings-rnn