March 2016
Beginner to intermediate
340 pages
7h 20m
English
Content preview from R Machine Learning By ExampleBecome an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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Sentiment analysis upon Tweets
Now that we are equipped with the key terms and concepts from the world of Sentiment Analysis, let us put our theory to the test. We have seen some major application areas for Sentiment Analysis and the challenges faced, in general, to perform such analytics. In this section we will perform Sentiment Analysis categorized into:
- Polarity analysis: This will involve the scoring and aggregation of sentiment polarity using a labeled list of positive and negative words.
- Classification-based analysis: In this approach we will make use of R's rich libraries to perform classification based on labeled tweets available for public usage. We will also discuss their performance and accuracy.
R has a very robust library for the extraction ...
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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.