WDC 2016 in San Francisco allowed developers to learn about SDKs (incl. Android), deep learning, and the roadmap of Watson cognitive services.
Many developers ask: “Watson sounds awesome. But what can I do with it?” The answer is: Pretty much whatever you can imagine. However, if you need a little more guided inspiration, check out these real-life, code-ready ideas. Then plan to attend Watson DevCon.
Emotion detection has been a central piece of the puzzle to make AI systems compassionate. With this goal in mind, early this year IBM Watson released textual emotion detection as a new functionality within the Alchemy Language Service and Tone Analyzer on the Watson developer cloud. We are pleased to announce that IBM Watson’s emotion detection capability has undergone significant enhancements.
AlchemyLanguage users take their Sentiment Analysis one step deeper to detect five distinct emotions in text – joy, fear, sadness, anger, and disgust. Users employ our sentiment and emotion capabilities to discover emotional trends in social media, prioritize inbound social data, etc. Now our customers can get even more granular and accurate with the Emotion Analysis API.
I had the opportunity to ask some questions to the winning team of the SXSW Hackathon Championship last week. Their app, Cognitunes, was a favorite amongst judges for best Consumer Music app, winning $3,500 and attention of the developer community. Sean Cascketta, took me through their approach and how Watson was crucial in the product development.
Video should soon represent up to 90% of all consumer internet traffic. This is a lot of information, often referred to as “dark data”, that is not simply searchable like a row in a database. In a previous post, I’ve looked at image tagging and face detection with IBM Watson Visual Recognition and Alchemy API. What if we could apply the same technologies to videos to make sense of these “dark data”?
Imagine you are attending the Cannes film festival or visiting a capital and taking pictures. Wouldn't it be great if when you are about to share these pictures with your friends and followers, the app automatically proposed hashtags by interpreting the picture, identifying buildings, landmarks and famous people? While we wait for this capability to come in popular image sharing apps, let's build something like this with IBM Bluemix.