Sample code: Identify the tone of written text with the Watson Tone Analyzer service
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About this code
This code shows you how to use the node.js API for the Watson Tone Analyzer service. Given some text, Watson evaluates the tone, looking for qualities such as the speaker's levels of anger, disgust, joy, fear, and sadness.
The code has two basic sections:
main()method. This is the entry point to the code. It creates the
ToneAnalyzerV3object and then invokes the
- A set of default parameters and the code that runs this module if it
is invoked by itself (as opposed to being invoked by a
require()statement). See the node.js documentation for more information on the implications of the
require.main === modulestatement.
Sign in to run, change, and deploy this code.
This code takes a string as input and analyzes the tone of the text. The
Promise to handle the asynchronous nature of the service. See
overview of the Tone Analyzer service or the github
repo for the Watson node.js API for more information.
Try changing the text to see what happens.
Using this code once deployed
To use this code once you've deployed it, you must create an instance of the Watson Tone Analyzer service:
To invoke the code, pass a JSON structure that matches the
defaultParameters object as shown above with the following
urlfields must be filled in with the credentials for your Tone Analyzer service instance.
use_unauthenticatedfield must be
For more information, see the developerWorks tutorial Invoking an OpenWhisk action.
- An overview of the Watson Tone Analyzer service
- Create a free Bluemix account
- Use Node.js and Watson to detect emotion, identify entities, and discover answers