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

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

, ,
0 / 0
How much do you like this book?
What’s the quality of the file?
Download the book for quality assessment
What’s the quality of the downloaded files?
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
O’Reilly Media
ISBN 10:
ISBN 13:
PDF, 13.97 MB
Download (pdf, 13.97 MB)

You may be interested in Powered by Rec2Me


Most frequently terms


You can write a book review and share your experiences. Other readers will always be interested in your opinion of the books you've read. Whether you've loved the book or not, if you give your honest and detailed thoughts then people will find new books that are right for them.