Diabetes Insights from Social Media


Social media is a rich source of user conversations and opinions, data from which if processed in a structured manner can provide decision makers in the health care space with valuable information. 


Social media and interplanetary mission -- what do they have in common? Well, they have in common the Mars Orbiter Mission, also known as ‘Mangalyaan’. It was launched on 5th November by the Indian Space Research Organization (ISRO). It generated a lot of interest across the globe among millions of people on Social Media networks. In this blog, we analyze how Twitterati reacted to this news. Asia was by far the most interested in the subject, covering 74% of all the tweets on ‘Mangalyaan’.

A Case Study on Social Media Text Analytics -- using Samsung Galaxy S4 as an example

The text feeds from Twitter and Facebook have been great sources for text analysis. Given the richness of data from such sources, text analytics has been widely discussed in the analytical community. The contextual nature of words, however, makes drawing conclusive insights on let's say, sentiments, rather difficult.

In our previous blog post, we outlined the differences in movie preferences of various car owners – well, turns out their music playlists are likely to be different too. Looking for statistically significant associations in social media, analysing data from thousands of people, we noticed that owners of different car brands had marked differences in music preferences as well.












A couple of us belted out popular perceptions and stereotypes as cars passed by the café outside the Tiger Analytics office. 

Red Corvette : Mid-life crisis

Lincoln Town Car : An elderly gentleman