Hands-On Python Natural Language Processing
This book provides a blend of both the theoretical and practical aspects of Natural Language Processing (NLP). It covers the concepts essential to develop a thorough understanding of NLP and also delves into a detailed discussion on NLP based use-cases such as language translation, sentiment analysis, etc. Every module covers real-world examples
Offered by
Difficulty Level
Intermediate
Completion Time
10h32m
Language
English
About Book
Who Is This Book For?
This NLP Python book is for anyone looking to learn NLP’s theoretical and practical aspects alike. It starts with the basics and gradually covers advanced concepts to make it easy to follow for readers with varying levels of NLP proficiency. This comprehensive guide will help you develop a thorough understanding of the NLP methodologies for building linguistic applications; however, working knowledge of Python programming language and high school level mathematics is expected.
Hands-On Python Natural Language Processing
- About Book
- Who Is This Book For?
- Book Content
Book content
chapters • 10h32m total length
Understanding the Basics of NLP
NLP Using Python
Building your NLP Vocabulary
Transforming Text into Data Structures
Word Embeddings and Distance Measurements for Text
Exploring Sentence-, Document-, and Character-Level Embeddings
Identifying Patterns in Text using Machine Learning
From Human Neurons to Artificial Neurons for Understanding Text
Applying Convolutions to Text
Capturing Temportal Relationships in Text
State of the Art in NLP
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