Identifying Medical Personas in Social Media through DL

Pharmaceutical companies use social media platforms for two specific reasons – drug marketing or pharmacovigilance (monitoring the effects of drugs on patients). Both these endeavors require accurate identification. Drug companies need to be able to differentiate medical professionals from regular users for commercial and regulatory reasons. Similarly, drug companies need to ascertain whether a social…


Collaborating with IIIT-H to combat abusive language through deep learning

Winner of the Best Poster Presentation at World Wide Web (WWW) 2017 What happens when machines become a little too human?  In an attempt to learn from observing human interactions, what if a machine picks up and mimics the less savoury elements of our species? Misadventures in machine learning highlight an important problem, viz. the…


Mitigating offensive search suggestions with deep learning

Winner of the PAKDD 2017 Best Paper Award The humble search bar is the window through which most Internet users experience the web. Deep learning is set to enhance the capabilities of this simple tool such that search engines can now anticipate what the user is looking for whilst moderating offensive suggestions before the query…


The innovations that are driving Bing’s growth

A wide gap has always existed between how we talk with each other and the way we communicate with search engines. If we were to talk to search engines like regular human beings, we’d expect them to understand us at the same level too. Say, you asked a friend to suggest a nice restaurant. She…