1. Select a CNN News article below:
2. Submit News Article for Sentiment and Image Analysis
3. Review Results from AWS, Azure, Google and IBM
Sentiment Analysis is a machine learning capability that can determine whether a piece of text is positive, neutral or negative in its content.
An example usage would be a marketing department automatically monitoring tweets about their brand and flagging negative tweets for follow-up by their social media team. In financial services, political and business news can move markets, so sentiment analysis of live news may be an input into automated trading engines that respond to world events in real-time. Read more about it here.
Image (and Video) Analysis is a machine learning capability that can produce descriptive labels for the detected contents of an image, along with a percentage 'confidence' score for each label.
An example usage would be a self-driving vehicle detecting a pedestrian in the middle of the road. Another example would be detecting landmarks so related images can be found. Read more about it here.
