December 2018
Beginner to intermediate
490 pages
10h 38m
English
Content preview from Data Analysis with Python
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Twitter sentiment analysis application
As always, we start by defining the requirements for our MVP version:
- Connect to Twitter to get a stream of real-time tweets filtered by a query string provided by the user
- Enrich the tweets to add sentiment information and relevant entities extracted from the text
- Display a dashboard with various statistics about the data using live charts that are updated at specified intervals
- The system should be able to scale up to Twitter data size
The following diagram shows the first version of our application architecture:
Twitter sentiment architecture version 1
For version 1, the application will be entirely implemented ...
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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.