Closed juliocnsouzadev closed 2 months ago
[!CAUTION]
Review failed
The pull request is closed.
The changes introduce a new Jupyter Notebook titled "Deep Learning for Text with PyTorch," which outlines a framework for processing text data using PyTorch and related libraries. It covers the installation of essential packages, text preprocessing techniques such as tokenization, stopword removal, and stemming, and includes practical code snippets for implementing these techniques.
Files | Change Summary |
---|---|
PyTorch/Deep_Learning_for_Text_With_PyTorch.ipynb | Introduced a new Jupyter Notebook for text processing using PyTorch, covering installation, preprocessing, tokenization, and word frequency analysis. |
In a world of text, we hop and play,
With PyTorch tools, we find our way.
Tokens and stems, we gather with glee,
A rabbit's delight in NLP! 🐇✨
Through words we dance, in data we trust,
In the realm of text, it's a must!
Thank you for using CodeRabbit. We offer it for free to the OSS community and would appreciate your support in helping us grow. If you find it useful, would you consider giving us a shout-out on your favorite social media?
Summary by CodeRabbit
New Features
Documentation