Creativity Design and

Cognition Gopal Kaushik – Rohit Sureka

MotivationLearn about trendsRead important buzz/newsRead what other people thinkWho is in the news? For what reasons?Differentiate between positive and negative publicity

Concept

People tend to tweet what they thinkThere are 190 million twitter accounts! Tweeters archive their tweets via Hashtags

What we want to do?Find who is in the news Find why they are in the newsAnalyze twitter ‘sentiments’ for a particular topic or person

Use Case - 1Cricket World Cup Tracking player performances versus their presence in tweetsWho gets noticed – for the good and the bad?

Use Case - 2Technology tweetsFind out what people think about the latest technology productsCan also act as a community review systemE.g. What’s good in the new iPad? Merits? Flaws?

How do we do it?Twitter feeds are public. They can be searched by hash tags and can be parsed.Popular words within these tweets can be stored and visualized to track the ‘buzz’ on the internet

Sentiments? How?Sentiments can be classified by using the words used by the tweetersPositive (Good Boy!) and Negative (Bad Boy!) words can be used to predict the trendWe can also do a temporal sentiment analysis. Find out how user sentiments change over time.

VisualizationAll the data we gain needs to be suitably visualized so that people can understand what is going on!Use information visualization techniques like Tag Clouds, Tree maps and tools like Google Visualization API , jQuery.

Who are our users?Sports fans – to find out who is hot and who is not!Technology EnthusiastsResearchers – to find trends on research topics

Thank You