March 2016
Beginner to intermediate
290 pages
5h 46m
English
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Twitter sentiment analysis using Hive
Twitter is one of the most important data sources that helps you to know the sentiments behind various things. In this recipe, we will take a look at how to perform sentiment analysis using Hive on Twitter data.
Getting ready
To perform this recipe, you should have a running Hadoop cluster as well as the latest version of Hive installed on it. Here, I am using Hive 1.2.1.
How to do it...
First of all, we need a dataset to perform this recipe. We will be using a dataset that can be found at http://s3.amazonaws.com/hw-sandbox/tutorial13/SentimentFiles.zip.
Next, we will unzip this data and upload it on HDFS. The zip contains three folders: the first for raw Twitter data, the second for a dictionary, and the third ...
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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.