August 2014
Beginner to intermediate
304 pages
7h 10m
English
Overview
Dive into the world of natural language processing (NLP) with Python using this comprehensive guide. You'll explore step-by-step recipes that train you in text tokenization, sentiment analysis, and entity recognition using the powerful NLTK library. Mastering these techniques will enable you to effectively process and analyze text at scale.
What this Book will help me do
- Understand and implement text tokenization into sentences and words.
- Harness the power of WordNet for comprehensive word lookups.
- Perform text classification and sentiment analysis on various datasets.
- Design and build your own custom text corpora for specific applications.
- Automate parsing and analysis of textual data at scale.
Author(s)
Jacob Perkins is a seasoned software developer and natural language processing expert, renowned for his ability to simplify complex technical concepts into practical, actionable steps. He applies his deep understanding of Python programming to produce NLP solutions. Jacob focuses on building effective tools to help developers explore and analyze large-scale text datasets efficiently.
Who is it for?
This book is ideal for Python developers who are eager to dive into the field of natural language processing (NLP). If you have a basic understanding of Python and are familiar with text processing or regular expressions, you will benefit greatly from this book. Whether you're looking to build automated tools or analyze textual data, this book provides practical know-how. It's tailored to students, professionals, and any tech enthusiast who wants to enrich their skill set in NLP.
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