As you may already know few European countries like Austria, Denmark are planning to ease the restrictions, this causes mixed reactions from people in the current situation. This is a sample app which analyses real time twitter feeds using sentiment140 (http://www.sentiment140.com/) to determine whether the tweeted text has positive, negative or neutral reaction on the current situation. The key words used for picking the tweets are “lifting lockdown” and “lifting restrictions” in the same order of the words.

The feed from twitter API is fed to Azure Event hub for handling huge stream of data, and then this stream of data is fed to azure streaming analytics which runs a tumbling window aggregation function for window width of 1hr, to aggregate the sentiment scores. This aggregated data is then stored in Azure blob store and visualized in the this website.

The data was collected from April 18th 2020 onwards. The website shows todays Aggregate positive(green), negative(red) and neutral (gray) scores. Todays values are updated every hour as the tweets are processed. And further down the website shows last 4 days results in the summary status.