This is a collection of my notes and solutions to the NLP course presented by Jose Portilla, the Head of Data Science at Pierian Data Inc. This course is both well designed and well instructed and perfect for both beginners and intermediate levels who want to deepen their understanding. Highly recommended.
- Work with Text and PDF Files with Python
- Utilize Regular Expressions for pattern searching in text
- Use Spacy for ultra fast tokenization
- Learn about Stemming and Lemmatization
- Understand Vocabulary Matching with Spacy
- Use Part of Speech Tagging to automatically process raw text files
- Understand Named Entity Recognition
- Visualize POS and NER with Spacy
- Use SciKit-Learn for Text Classification
- Use Latent Dirichlet Allocation for Topic Modelling
- Learn about Non-negative Matrix Factorization
- Use the Word2Vec algorithm
- Use NLTK for Sentiment Analysis
- Use Deep Learning to build out your own chat bot