Skip to Content
Raspberry Pi 3 Cookbook for Python Programmers - Third Edition
book

Raspberry Pi 3 Cookbook for Python Programmers - Third Edition

by Steven Lawrence Fernandes, Tim Cox
April 2018
Beginner content levelBeginner
552 pages
13h 58m
English
Packt Publishing
Content preview from Raspberry Pi 3 Cookbook for Python Programmers - Third Edition

Building a text classifier

Classifier units are normally considered to separate a database into various classes. The Naive Bayes classifier scheme is widely considered in literature to segregate the texts based on the trained model. This section of the chapter initially considers a text database with keywords; feature extraction extracts the key phrases from the text and trains the classifier system. Then, term frequency-inverse document frequency (tf-idf) transformation is implemented to specify the importance of the word. Finally, the output is predicted and printed using the classifier system.

Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.
Start your free trial

You might also like

Raspberry Pi for Python Programmers Cookbook - Second Edition

Raspberry Pi for Python Programmers Cookbook - Second Edition

Tim Cox

Publisher Resources

ISBN: 9781788629874Supplemental Content