and shift up by 3 so that a value of 0 corresponds to a neutral response.Īnd that’s it! Add your bot to your team (using it’s username, including and talk to it. After logging into your account, click the Start Building Apps button. 3 and round to an integer to break it up into roughly Strongly Negative, Negative, Somewhat Negative, Neutral, etc. If so, we then take our sentiment value, divide it by. This package is based on the previous ciscosparkbot project.
#Webex teams bot how to#
So, to know how to respond, we first check if the magnitude is greater than 0.2 to see if the statement was actually emotional (if not, we respond with 😶). This package makes creating Webex Teams bots in Python super simple.
Now, Google’s sentiment analysis returns two values: the sentiment result.value, which goes from -1 to 1 and indicates how positive or negative the sentiment is, and the magnitude result.magnitude, which goes from 0 up, and indicates how strong the emotions within the text are. If the message isn’t empty, we package it into document and send it off to GCP for analysis, and process the results as they come back. Connect Slack, Microsoft Teams, Webex, and Zoom Team Chat Mio for cross-platform chat Connect your enterprise chat platforms Mio is the bridge that connects Microsoft Teams, Slack, Webex, and Zoom Chat for one unified chat experience.
Next, using controller.on() we create a hook for our controller to do something when the bot hears a direct message or direct mention.
So what’s going on here? Well, first off we define an array of emoji spanning an emotional range, with a higher value being a more positive emotion, and the middle element being a neutral face.
0 kommentar(er)
