Applied Natural Language Processing with Python: Implementing Machine Learning and Deep Learning Algorithms for Natural Language Processing
Autor Taweh Beysolow IIen Limba Engleză Paperback – 12 sep 2018
Learn to harness the power of AI for natural language processing, performing tasks such as spell check, text summarization, document classification, and natural language generation. Along the way, you will learn the skills to implement these methods in larger infrastructures to replace existing code or create new algorithms.
Applied Natural Language Processing with Python starts with reviewing the necessary machine learning concepts before moving onto discussing various NLP problems. After reading this book, you will have the skills to apply these concepts in your own professional environment.
What You Will Learn
- Utilize various machine learning and natural language processing libraries such as TensorFlow, Keras, NLTK, and Gensim
- Manipulate and preprocess raw text data in formats such as .txt and .pdf
- Strengthen your skills in data science by learning both the theory and the application of various algorithms
Who This Book Is For
You should be at least a beginner in ML to get the most out of this text, but you needn’t feel that you need be an expert to understand the content.
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Specificații
ISBN-13: 9781484237328
ISBN-10: 1484237323
Pagini: 245
Ilustrații: XV, 150 p. 32 illus.
Dimensiuni: 155 x 235 x 10 mm
Greutate: 0.25 kg
Ediția:1st ed.
Editura: Apress
Colecția Apress
Locul publicării:Berkeley, CA, United States
ISBN-10: 1484237323
Pagini: 245
Ilustrații: XV, 150 p. 32 illus.
Dimensiuni: 155 x 235 x 10 mm
Greutate: 0.25 kg
Ediția:1st ed.
Editura: Apress
Colecția Apress
Locul publicării:Berkeley, CA, United States
Cuprins
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.
Notă biografică
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.
Textul de pe ultima copertă
Learn to harness the power of AI for natural language processing, performing tasks such as spell check, text summarization, document classification, and natural language generation. Along the way, you will learn the skills to implement these methods in larger infrastructures to replace existing code or create new algorithms.
Applied Natural Language Processing with Python starts with reviewing the necessary machine learning concepts before moving onto discussing various NLP problems. After reading this book, you will have the skills to apply these concepts in your own professional environment.
You will:
- Utilize various machine learning and natural language processing libraries such as TensorFlow, Keras, NLTK, and Gensim
- Manipulate and preprocess raw text data in formats such as .txt and .pdf
- Strengthen your skills in data science by learning both the theory and the application of various algorithms
Caracteristici
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