Applied Text Analysis with Python: Enabling Language-Aware Data Products with Machine Learning

Applied Text Analysis with Python

eBook Details:

  • Paperback: 332 pages
  • Publisher: WOW! eBook; 1st edition (July 1, 2018)
  • Language: English
  • ISBN-10: 1491963042
  • ISBN-13: 978-1491963043

eBook Description:

Applied Text Analysis with Python: Enabling Language-Aware Data Products with Machine Learning

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 Applied Text Analysis with Python 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.

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1 Response

  1. May 23, 2019

    […] Text Analytics with Python: A Practitioner’s Guide to Natural Language Processing, 2nd Edition: Implementations are based on Python 3.x and several popular open source libraries in NLP […]

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