e-RAS

e-RAS (extended Risk Analysis System) using Social Media

Problem State:

• Currently Underwriters (U/W) assess risk based on Previous records, Medical reports etc.
• To support U/W in assessing risk more precisely, more data about Insured needs to be gathered and analyzed.
• A complimentary / extension to existing system that collects data in unconventional way is required to help U/W assess the risk of customers.

Solution Description:

• Customer Social Media Footprint will be collected and analyzed to study the Sentiment, Emotions and Concepts.
• Points based output of above information provided to U/W to proceed with underwriting.

Output:

Addition of Social Media data will show customers Sentiment, Emotional and list of interested Concepts. The Positive / Neutral sentiment, Less Anger/Sadness/Fear level and Concepts that shows positivity means a Psychologically/Socially good customer to an U/W.

AlchemyAPI (Bluemix services) used:

• TextGetLanguage
• TextGetSentiment
• TextGetEmotion
• TextGetRankedConcepts

Demo:

Launch http://e-ras.tcs.us-south.mybluemix.net/