July 2019
Beginner to intermediate
298 pages
7h 20m
English
Content preview from Hands-On Ensemble Learning with Python
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Evaluating Sentiment on Twitter
Twitter is a highly popular social network with over 300 million monthly active users. The platform has been developed around short posts (limited to a number of characters; currently, the limit is 280 characters). The posts themselves are called tweets. On average, 6000 tweets are tweeted every second, which equates to around 200 billion tweets per year. This constitutes a huge amount of data that contains an equal amount of information. As is obvious, it is not possible to analyze this volume of data by hand. Thus, automated solutions have been employed, both by Twitter and third parties. One of the hottest topics involves a tweet's sentiment, or how the user feels about the topic that they tweets. Sentiment ...
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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.
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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.