Social Media Insights from Predictive Analytics

For this post a total of 3000 Social Media title posts where analyzed to gain -hopefully- important insights for Social Media professionals. To achieve this, Text Mining was used to analyze the text of titles, identify the most important subjects (do posts about Personal Branding tend to be re-tweeted more than Social Media Monitoring?) and also try to prioritize the various areas of Social Media.

We start with the basics. Many of Social Media pros read (and write) about various subjects : How-to's, things to avoid, Adoption of Social Media etc). The first goal was to identify the most frequently occurring subject areas in Social Media posts using simple keyword frequencies.

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The next goal was to find words and phrases that are commonly found in posts with a high number of retweets (>40). To get this insight various Text Mining techniques where used. The following features have been taken into consideration :

• Author of Post
• Title of Post
• Number of Retweets

and here are some of the results :

Words that have a negative weight tend to be found in SM posts with a low number of re-tweets (write, talk, trust, sentiment) while launch and America where commonly found in popular posts. Please notice (the reason will be explained later) that personal is one of the hot words but also link and increase.

Read more.