June 2018
Beginner to intermediate
306 pages
7h 42m
English
book
Natural Language Processing and Computational Linguistics
by Brian Sacash, Bhargav Srinivasa-Desikan, Reddy Anil Kumar
Overview
Immerse yourself in the field of natural language processing (NLP) and computational linguistics with this approachable guide. By leveraging Python's robust ecosystem and tools like Gensim, spaCy, and Keras, you'll gain the skills to analyze and process textual data effectively. This book bridges the gap between theory and application, making it simpler to practice modern text analysis.
What this Book will help me do
- Understand the fundamentals and importance of natural language processing in today's data-driven world.
- Preprocess and clean textual data to prepare it for advanced computational linguistics tasks.
- Apply algorithms such as topic modeling and clustering using tools like Gensim and scikit-learn.
- Gain hands-on experience with deep learning techniques using Python frameworks such as Keras.
- Learn to analyze text data comprehensively with practical examples using tools like spaCy.
Author(s)
Bhargav Srinivasa-Desikan is an experienced computational linguist and Python enthusiast. With a deep expertise in natural language processing and text analysis, Bhargav has worked on cutting-edge projects in the field, blending practical engineering insights with an academic understanding of language. Through his written works, he aims to make this fascinating field more accessible to a wider audience.
Who is it for?
This book is ideal for data scientists, software engineers, and enthusiasts who are curious about text analysis and its practical applications. If you have a grasp on basic Python and want to delve into the field of NLP and computational linguistics, this guide is perfectly crafted for you. It caters to learners aiming to apply NLP in areas like sentiment analysis, chatbots, and beyond. Whether you're advancing your career or simply exploring something new, this book serves as a comprehensive introduction to the field.
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