Comparing Machine Learning through BBC News Analysis
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1. Select a BBC News article below:
Oops! Something went wrong parsing the BBC News response. (Maybe the format changed.) You are limited to the cached "Curated Examples" articles for now.
Oops! No response received from the live BBC News feed service. You are limited to the cached "Curated Examples" articles for now.
2. Submit News Article for Sentiment and Image Analysis
This demo is using the Solace Microgateway feature to facilitate communication between this browser and multiple RESTful services running in the cloud in a 'Functions-as-a-Service (FaaS)' manner. The Microgateway allows applications to use a messaging API (such as JMS) and seamlessly connect to RESTful services, in a simplified architecture, with additional benefits such as burst-handling and horizontally scaled load-balancing. Learn about what Solace do, and who our clients are. Sign up to the Solace 'always free' tier here.
What is Sentiment Analysis?
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.
What is Image Analysis?
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.