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Applied text analysis with Python : enabling language-aware data products with machine learning by Benjamin Bengfort, Rebecca Bilbro, Tony Ojeda. All rights reserved is a science book available to read on EtoBox.

What is Applied text analysis with Python : enabling language-aware data products with machine learning about?

The programming landscape of natural language processing has changed dramatically in the past few years. Machine learning approaches now require mature tools like Python's scikit-learn to apply models to text at scale. This practical guide shows programmers and data scientists who have an intermediate-level understanding of Python and a basic understanding of machine learning and natural language processing how to become more proficient in these two exciting areas of data science. This book presents a concise, focused, and applied approach to text analysis with Python, and covers topics including text ingestion and wrangling, basic machine learning on text, classification for text analysis, entity resolution, and text visualization. Applied Text Analysis with Python will enable you to design and develop language-aware data products. You'll learn how and why machine learning algorithms make decisions about language to analyze text; how to ingest, wrangle, and preprocess language data; and how the three primary text analysis libraries in Python work in concert. Ultimately, this book will enable you to design and develop language-aware data products.

Who reads Applied text analysis with Python : enabling language-aware data products with machine learning?

Author

Benjamin Bengfort, Rebecca Bilbro, Tony Ojeda. All rights reserved

Publisher

O'Reilly Media, Incorporated

Published

2018

Language

EN

ISBN

9781491962992

Category

science

Subjects

Computer Science, Stem

Rating

4.4 / 5 (80 ratings)

Updated

2026-03-14