Question

1
Replies
373
Views
RyanM377 Member since 2018 4 posts
Red Alpha
Posted: July 12, 2019
Last activity: September 9, 2019
Closed

Email NLP Entity Parsing

Hi there!

Currently, I have a keyword model called "Action" that picks up: "meet with", "talk to", and "visit with."

Also, I have the standard person entity extraction model to pick up names like "Joe", "Steve", and "Ryan."

The common format for emails that I receive are:

"Ryan would like to meet with Steve"

"Joe would like to talk to John"

"Rick would like to visit Roger"

The NLP extraction will return:

"Ryan" - #Person

"meet with" = "Action"

"Steve" - #Person

My goal is for:

"Ryan" = #Person

"Ryan" = #Visitor

"meet with" = #Action

"Steve" = #Person

"Steve" = #Host

So logically, the #Person before #Action should be the #Visitor and the #Person after #Action should be the #Host.

What is the best way to implement this in the Text Analyzer/NLP Model?

Thanks,

Ryan

***Edited by Moderator: Lochan to update platform capability tags***

Pega Customer Decision Hub Decision Management
Moderation Team has archived post
Share this page LinkedIn