Twitter Sentiment Analysis
This flow listens for tweets mentioning a specific term, passes it through sentiment analysis and then routes the messages to one of three outputs depending if the sentiment is positive, neutral or negative.
To use this flow, the twitter node will need to be edited to add your credentials. The search term, currently set to ibm
can also be configured in the twitter node.
The Switch node emits positive tweets through the top output, neutral through the middle output and negative through the bottom output.
[{"id":"dad6854b.252978","type":"twitter in","twitter":"","tags":"ibm","user":"false","name":"","topic":"tweets","x":100,"y":100,"z":"e1c9f85b.1e3608","wires":[["d63b18d.f29c4e8"]]},{"id":"d63b18d.f29c4e8","type":"sentiment","name":"","x":240,"y":100,"z":"e1c9f85b.1e3608","wires":[["ac27ffb5.53d8"]]},{"id":"ac27ffb5.53d8","type":"switch","name":"","property":"sentiment.score","rules":[{"t":"gt","v":"0"},{"t":"eq","v":"0"},{"t":"lt","v":"0"}],"checkall":"false","outputs":3,"x":380,"y":100,"z":"e1c9f85b.1e3608","wires":[[],[],[]]}]