Natural Language Processing Tutorials

Learn how to use HuggingFace transformers library to fine tune BERT and other transformer models for text classification task in Python.

Learn how to use Huggingface transformers and PyTorch libraries to summarize long text, using pipeline API and T5 transformer model in Python.

Learn how you can easily perform sentiment analysis on text in Python using vaderSentiment library.

Learn how to make a language translator and detector using Googletrans library (Google Translation API) for translating more than 100 languages with Python.

Building deep learning models (using embedding and recurrent layers) for different text classification problems such as sentiment analysis or 20 news group classification using Tensorflow and Keras in Python

Building a deep learning model to generate human readable text using Recurrent Neural Networks (RNNs) and LSTM with TensorFlow and Keras frameworks in Python.

Classifying emails (spam or not spam) with GloVe embedding vectors and RNN/LSTM units using Keras in Python.