January 2016
Intermediate to advanced
337 pages
11h 50m
English
Content preview from Text Mining and Visualization
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120 Text Mining and Visualization: Case Studies Using Open-Source Tools
FIGURE 5.20: String length of Description: column.
This provides a good target label to build a prediction on. The Description: field was
chosen as the text field to generate input features for the prediction model. The Description:
free text field was chosen over User Report: as it is mandatory and the latter optional. In
addition it was believed that a label Warning:=Yes may preclude an entry into User Report:
field. (Would a person consume a pill if they believed it to be adulterated?)
The distribution between the labels is No (N=3,184, 64%) and Yes (N=1,817, 36%).
There is no
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.