Analyzing Twitter Data: There’s an App for that.

Posted by

Well, we finally did it.

We launched a beta version of Readiness Learning Systems. So far, we only have two apps up there, which are designed to help you analyze and learn from Twitter data. What you can do is either enter a hashtag or a full account (like @waitbutwhy, for example), and we’ll process some themes and trends in the data using some NLP techniques like bag-of-words and sentiment analysis.

Go here to start playing around. It’s free. Totally free!

And yes, this is a beta version, so there are bound to be some bugs. If too many people are using it at the same time, the pipeline will get throttled and you’ll have to wait about 15 minutes. Otherwise, if you find any reach out to meghan@dawnchorusgroup.com. We’ll be tweaking and improving this as more people tell us what’s useful, so….tell us what’s useful.

But there’s more

We’ll be starting to host semi-regular webinars around analyzing and interpreting social media data throughout the summer. Here at Dawn Chorus, we’re able to do some sophisticated things that can help you better understand messaging that works and that doesn’t.

We can also compare across accounts. Here’s a snapshot of some fun stuff we recently did look at all the US Representatives in New Jersey.

This shows positive or negative emotions over time. There’s also a tiny error in this graph: Donald Norcross is a D. We did compare across parties because it was so imbalanced.
And the types of emotions that were addressed, as a proportion of all their tweets.

Want to dive deep?

Reach out to us and we can help you explore all across the Twitterverse.

This does not represent me well 😦

Leave a Reply

Fill in your details below or click an icon to log in:

WordPress.com Logo

You are commenting using your WordPress.com account. Log Out /  Change )

Twitter picture

You are commenting using your Twitter account. Log Out /  Change )

Facebook photo

You are commenting using your Facebook account. Log Out /  Change )

Connecting to %s