Tech talk: Using Node-RED and AI to analyze social media
Analyze social media after a natural disaster for insights that are useful to victims and first responders
About this video
In this live tutorial, John Walicki (STSM and CTO of Global Developer Advocacy) will demonstrate how Node-RED flows paired with AI can analyze social media during and after a natural disaster. Walicki will walk you through the steps to create a sample application that uses Node-RED, Watson, and Twitter to look at how survivors of a natural disaster use social media to post their sentiments, pictures of locations and damages, and also how they can get connected to first responders.
After a disaster, these methods could be useful to further understand how natural disasters affect mental health and whether social media helped first responders locate survivors. Images shared on social media by individuals could also prove useful in determining specific types of terrain or infrastructure impacted by natural disasters. Follow along with John in his GitHub repo here: https://github.com/johnwalicki/Node-RED-Twitter-Workshop
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With social media so prevalent today, people all over the world can connect instantly online through various social media platforms. And though there are negative aspects to social media, it has proved to be helpful after a natural disaster. People can mark themselves as safe, connect with others to let them know where they are, and also raise awareness and funds for charitable donations.
When building your Call for Code submission, it is obviously useful for you to know important weather data. But consider also how technology today can be improved upon when it comes to social networks and other forms of communication through multimedia.