Transforms all tweets for a given handle/hashtag into music reflecting their sentiment (original hackathon version; desktop only)
Reads a near-realtime stream of tweets, filtered by a given keyword. Each tweet has any Emoji characters extracted and the emotional sentiment analysed. The Emojis are shown to users in a continuous feed, and the emotional sentiment is plotted on a moving graph and converted to piano "music" that suits the mood of each tweet.
Initially created at MLH Launch Hack by Mark Ormesher, Fares Alaboud, Mustafa al-Bassam and Kristin Kasavetova.
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