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Mastering Social Media Mining with R

You're reading from  Mastering Social Media Mining with R

Product type Book
Published in Sep 2015
Publisher
ISBN-13 9781784396312
Pages 248 pages
Edition 1st Edition
Languages
Concepts

Table of Contents (13) Chapters

Mastering Social Media Mining with R
Credits
About the Authors
About the Reviewers
www.PacktPub.com
Preface
1. Fundamentals of Mining 2. Mining Opinions, Exploring Trends, and More with Twitter 3. Find Friends on Facebook 4. Finding Popular Photos on Instagram 5. Let's Build Software with GitHub 6. More Social Media Websites Index

Trending topics

The concept of trending topics is quite popular. We can see the trending topics in news websites, Twitter, and so on. But how can we identify the trending topic for a particular Facebook page or a group of Facebook pages? Let's see how it can be done in detail.

Trend analysis

Now, we will see how to learn which posts are doing well in recent times. After selecting the page that we are planning to do some analysis for, we will filter the posts' data based on a time range. Let's consider the same TED page and filter the recent data and see the posts that were popular:

# Most trending posts
page<- getPage("TED", token, n = 500)
head(page, n=20)

We pull the interactions, that is, messages posted in a page using the getPage function. In the following code, we are filtering the data. We are pulling the data that was posted after April 1, 2015. Then, we order the post based on the number of likes, and we use the head function to display the top posts and their details. The code is...

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