By Markus Hofmann, Andrew Chisholm
Text Mining and Visualization: Case experiences utilizing Open-Source Tools offers an advent to textual content mining utilizing probably the most well known and robust open-source instruments: KNIME, RapidMiner, Weka, R, and Python.
The contributors—all hugely skilled with textual content mining and open-source software—explain how textual content info are amassed and processed from a wide selection of assets, together with books, server entry logs, web content, social media websites, and message forums. every one bankruptcy provides a case examine so you might stick to as a part of a step by step, reproducible instance. you may as well simply practice and expand the thoughts to different difficulties. all of the examples can be found on a supplementary web site.
The ebook exhibits you ways to take advantage of your textual content info, supplying profitable software examples and blueprints that you can take on your textual content mining projects and make the most of open and freely on hand instruments. It will get you modern at the most recent and strongest instruments, the knowledge mining strategy, and particular textual content mining activities.