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Text Analysis.

Text Analysis: Predicting Engagement from Tweets
27 February 2017 | by Chris Facer

Why do some tweets sizzle while others fizzle? Sometimes it’s obvious. But if you have a large quantity of tweet text, or other text for that matter, it can be tricky and time-consuming to trawl…

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Term document matrix Text Analysis: Hooking up Your Term Document Matrix to Custom R Code
27 February 2017 | by Chris Facer

  I have previously written about some of the text analysis options that are available in Displayr: sentiment analysis, text cleaning, and the predictive tree.  As text analysis is a growing field, you likely want to…

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Sentiment analysis word cloud How to Set up Your Text Analysis in Displayr
27 February 2017 | by Chris Facer

Text data can be an unwieldy beast. Whether you’re analyzing tweets, reviews, or open-ended responses from a survey, you will usually need to do some cleaning and processing of the text before you can conduct…

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Using Text Analytics to Tidy a Word Cloud
27 February 2017 | by Tim Bock

It is common when people create word clouds that they want more control. Limit the word cloud to frequently occurring words. Join together words in phrases. Automatically group together words that have the same meaning. The trick…

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Displayr: The Best Tool for Creating a Word Cloud
27 February 2017 | by Tim Bock

A long time ago, in a galaxy far, far, away, Tom Cruise jumped over a couch and landed on everybody else’s nose. Most people seem to have forgiven him, but at the time, he was…

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trump sentiment word cloud Sentiment Analysis Is Simple (a Trump’s Tweets Example)
27 February 2017 | by Chris Facer

Social media provides a sea of information, and it can be hard to know what to do with it all. When people post their ideas and opinions online, we get messy, unstructured text. Whether its comments, Tweets,…

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