Download the fantastic book titled Applied Text Analysis with Python written by Benjamin Bengfort, available in its entirety in both PDF and EPUB formats for online reading. This page includes a concise summary, a preview of the book cover, and detailed information about "Applied Text Analysis with Python", which was released on 11 June 2018. We suggest perusing the summary before initiating your download. This book is a top selection for enthusiasts of the Computers genre.
Summary of Applied Text Analysis with Python by Benjamin Bengfort PDF
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
Detail About Applied Text Analysis with Python PDF
- Author : Benjamin Bengfort
- Publisher : "O'Reilly Media, Inc."
- Genre : Computers
- Total Pages : 332 pages
- ISBN : 1491962992
- Release Date : 11 June 2018
- PDF File Size : 45,7 Mb
- Language : English
- Rating : 4/5 from 21 reviews
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