Applied Natural Language Processing with Python

Covers NLP packages such as NLTK, gensim,and SpaCy Approaches topics such as "topic modeling" and "text summarization" in a beginner-friendly manner Explains how to ingest text data via web crawlers for use in deep learning NLP algorithms such as Word2Vec and Doc2Vec

Auteur
Taweh Beysolow II is a Machine Learning Scientist and Author currently based in the United States. He has a Bachelor of Science degree in Economics from St. Johns University and a Master of Science in Applied Statistics from Fordham University. His professional experience has included applying machine learning and natural language processing techniques to financial, text (structured and unstructured), and social media data.

Contenu
Chapter 1: What is Natural Language Processing?.- Chapter 2: Review of Machine Learning.- Chapter 3: Working with Raw Text.- Chapter 4: Word Embeddings and their application.- Chapter 5: Using Machine Learning with Natural Language Processing.