Automate Dialogflow Fulfillment with Sentiment-Based Responses
Automatically analyze sentiment of Dialogflow queries and send tailored responses using MonkeyLearn's machine learning model.
This workflow triggers whenever a new Dialogflow fulfillment webhook is activated. It utilizes MonkeyLearn to classify the sentiment of the query text as positive, negative, or neutral. Based on the sentiment analysis, the workflow routes the response to provide specific fulfillment messages, enhancing user interaction by tailoring responses to the user's emotional tone.
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How to import this workflow into Make
- 1Purchase or download the workflow to get the Make blueprint JSON file.
- 2In Make, create a new scenario, click the three-dots menu, and choose "Import Blueprint".
- 3Reconnect each module to your own app connections when prompted.
- 4Run the scenario once to verify it, then set your schedule and turn it on.
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