In this tutorial, you will find :
- Introduction to Word2Vec: Learn Word2Vec basics and its role in NLP.
- Understand preprocessing steps.
- Set Up Word2Vec: Configure Word2Vec using TensorFlow.
- Train Model: Train the Word2Vec model using the skip-gram approach.
- Visualize Embeddings: Use t-SNE to visualize and interpret word embeddings.
Open the tutorial-visualize-embeddings.ipynb
jupyter notebook and follow the steps.
No deliverables here, just run all the code cells and learn by following the tutorial.