Machine Learning for Finance

Summary

In this chapter, you have learned the most important NLP techniques. There was a lot that we've learned, and here's a big list of things we covered in this chapter and everything you should now feel confident about understanding:

• Finding named entities
• Fine-tuning spaCy's models for your own custom applications
• Finding parts of speech and mapping the grammatical structure of sentences
• Using regular expressions
• Preparing text data for classification tasks
• Using techniques such as bag-of-words and TF-IDF for classification
• Modeling the topics present in a text with LDA
• Using pretrained word embeddings
• Building advanced models with the Keras functional API
• Training your model to focus on attention
• Translating sentences with the seq2seq model

You now have ...