July 2017
Beginner to intermediate
312 pages
7h 27m
English
Content preview from Python Social Media Analytics
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Keywords
In the first place, we generate wordclouds for most frequent keywords for posts and consumer comments on the whole dataset.
In the following screenshot, you can see the most frequent keywords in brand posts:
In the following screenshot, you can see the most frequent keywords used in comments:
We can easily notice that the keywords are polluted by lots of comments related to political and religious issues. As we don't want to focus our analysis on these topics, we'll create a filtering method to remove all the irrelevant words.
We define ...
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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.