Applied text analysis with Python : enabling language-aware data products with machine learning / Benjamin Bengfort, Rebecca Bilbro, Tony Ojeda.

Format:

Book

Author/Creator:

Bengfort, Benjamin, 1984-

Contributor:

Bilbro, Rebecca.

Ojeda, Tony.

Language:

English

Subjects (All):

Python (Computer program language).

Natural language processing (Computer science).

Machine learning.

Physical Description:

1 online resource (xviii, 310 p.) : ill.

Edition:

First edition.

Place of Publication:

Beijing : O'Reilly, 2018.

Summary:

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’ll 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 enable chatbots and language-driven interaction; Use Spark to scale processing power and neural networks to scale model complexity.

Contents:

1. Language and Computation

2. Building a Custom Corpus

3. Corpus Preprocessing and Wrangling

4. Text Vectorization and Transformation Pipelines

5. Classification for Text Analysis

6. Clustering for Text Similarity

7. Context-Aware Text Analysis

8. Text Visualization

9. Graph Analysis of Text

10. Chatbots

11. Scaling Text Analytics with Multiprocessing and Spark

12. Deep Learning and Beyond

Glossary

Index.

Notes:

Includes bibliographical references and index.

ISBN:

9781491962992 (ebook)

9781491963043 (pbk.)

9781491963036

1491963034

9781491963012

1491963018

9781491962992

1491962992

OCLC:

1046057318