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Applied text analysis with Python ; enabling language-aware data pruducts with machine learning by Bengfort, Benjamin, Bilbro, Rebecca, Ojeda, Tony is a nonfiction available to read on EtoBox.

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

From news and speeches to informal chatter on social media, natural language is one of the richest and most underutilized sources of data. Not only does it come in a constant stream, always changing and adapting in context; it also contains information that is not conveyed by traditional data sources. The key to unlocking natural language is through the creative application of text analytics. This practical book presents a data scientist's approach to building language-aware products with applied machine learning. You will learn robust, repeatable, and scalable techniques for text analysis with Python, including contextual and linguistic feature engineering, vectorization, classification, topic modeling, entity resolution, graph analysis, and visual steering. By the end of the book, you'll be equipped with practical methods to solve any number of complex real-world problems.- Preprocess and vectorize text into high-dimensional feature representations - Perform document classification and topic modeling - Steer the model selection process with visual diagnostics - Extract key phrases, named entities, and graph structures to reason about data in text - Build a dialog framework to ena

Who reads Applied text analysis with Python ; enabling language-aware data pruducts with machine learning?

Author

Bengfort, Benjamin, Bilbro, Rebecca, Ojeda, Tony

Publisher

O'Reilly Media, Incorporated

Published

2018

Language

EN

ISBN

9781491963043

Category

nonfiction

Subjects

Computer Science, Stem