It would make text analytics powerful if I could feed any text data into a Rule, and use an Action to do sentiment analysis on that text, and take different actions depending on whether it was positive/negative/neutral sentiment.
So, for example, if it was a survey result or new support ticket or whatever, with positive sentiment, let's generate an Email Assist for the team manager to reach out. If it has negative sentiment, let's email the team manager and perhaps automatically send an email to the customer with a note that it's been escalated.
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Hi Seth,
We can still solve this use case by creating a rules on the NPS Text Analytics objects on the column sentence category. As a generalized concept having a capability of performing sentiment analysis on any free from text does make sense but having rules running could lead to an issue. The results are correct about 75% to 80% of time, we will have false triggers 20% of the time.
We can still solve this use case by creating a rules on the NPS Text Analytics objects on the column sentence category. As a generalized concept having a capability of performing sentiment analysis on any free from text does make sense but having rules running could lead to an issue. The results are correct about 75% to 80% of time, we will have false triggers 20% of the time.
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