I used a free service similar to TweetDoc to download the latest “mentions” of #sitHH (SAP Inside Track Hamburg) to review who tweeted the most, from what type of device, and who had the most mentions. The output is a text file I used to load to SAP Data Services.
Then I went to the SAP Learning Hub to review how the text data processing features worked using Data Services.
Data Services is able to take unstructured data into structured data that Lumira can read. See below:
Above shows a map of the devices used to tweet, with most of the tweets coming from the iPad.
Thanks to Gregor Wolf who explained the above shows the “sender” of the tweet. Data Services analyzed it as a “PERSON” entity.
Gregor sent the most tweets during the period extracted.
A Lumira word cloud shows this more visually. Interesting that Data Services also thinks Firoi is a person.
The above is a storyboard of the twitter ID counts
SAP Lumira Cloud Public Links:
source of tweets
Topic of tweets
Number of Times Mentioned:
Sender of Tweets:
Today is the last day to submit a presentation for SAP Inside Track Chicago – see Call for Presentations – SAP Inside Track Chicago, co-located with ASUG Chicago Chapter Meeting