November 2018
Beginner to intermediate
182 pages
4h 48m
English
Overview
Natural Language Processing with Python Quick Start Guide is a practical, code-focused book designed to teach developers how to implement effective NLP solutions. By combining Python-based tools such as spaCy, gensim, and PyTorch with practical examples and projects, you'll gain the skills needed to process and analyze text data for real-world scenarios.
What this Book will help me do
- Apply tools like spaCy and gensim for linguistic processing and feature extraction.
- Develop text classification and clustering models using scikit-learn and PyTorch.
- Learn to build and deploy a functional chatbot application within 30 minutes.
- Understand how to optimize NLP projects using embedding approaches and machine learning.
- Gain hands-on experience in deploying NLP applications as RESTful APIs using Flask.
Author(s)
None Kasliwal is an experienced Python programmer and technical author well-versed in Natural Language Processing techniques. With a background in computer science and a passion for teaching, None aims to simplify complex topics and make them accessible. His hands-on and practical approach to learning offers readers real-world expertise, focusing on actionable results.
Who is it for?
This book is ideal for software developers and programmers aiming to venture into Natural Language Processing. If you have a foundational understanding of Python and seek to create text-processing or conversational AI applications, this guide is tailored for you. Whether you're already experimenting with machine learning or just beginning your NLP journey, this book provides practical insights and tools to level up your skills.
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