Overview: This post explores the basics of natural language processing and how to generate creative text using LSTM neural networks. Includes code snippets and practical advice for beginners.
1. What is NLP?
Natural Language Processing (NLP) is a field of AI focused on enabling computers to understand and generate human language. Applications include chatbots, translation, and text generation.
2. Preparing Text Data
Text data is cleaned, tokenized, and converted into sequences for model training. Preprocessing is key for effective learning.
3. Building an LSTM Model
I used Keras to build an LSTM-based text generator. The model learns to predict the next word in a sequence, enabling it to generate new, creative text.
4. Results & Tips
After training, the model can generate text in the style of the training data. I share tips for improving results and avoiding common pitfalls.
Want the code? Check out the GitHub repo (coming soon).