Question1Replies78Views×Close popoverAlsabah Nawab (AlsabahN) Wipro Ltd Wipro Ltd US View Profile AlsabahN Member since 2019 5 posts Wipro Ltd Posted: May 9, 2019Last activity: May 10, 2019Posted: 9 May 2019 11:29 EDTLast activity: 10 May 2019 4:36 EDT Closed Training Text Analyzer / Topic DetectionHi,Use case: Unmatched values are displayed along with list of Topics. The user selects best matched Topic. Using this data I want to train the model to match this value next time. In my activity I am calling pxCaptureTAFeedback followed by pxUpdateModels. However I do not see expected results. Do we have any examples /working code that updates NLP model / Text categorization / Topic ? ThanksAl Pega Customer Decision Hub Low-Code App Development Decision Management ×Close popoverFacebookTwitterLinkedinEmail Copy Link Copied! Moderation Team has archived post This thread is closed to future replies. Content and links will no longer be updated. If you have the same/similar Question, please write a new Question. Posted: 1 year agoPosted: 10 May 2019 4:36 EDT×Close popoverArijit Mitra (mitra2) PEGA Senior Product Manager, NLP & Data Science Pegasystems Inc. IN View Profilemitra2 PEGA replied to AlsabahNHello, The approach is correct. You can also try the same in PredictionStudio/Analytics centre where we can build a Text Categorization model. You can try out the same in Channels and Interfaces in IVA where you can provide the o/p in Training data tab. Do let me know how many training data you have per topic , for better results please put at least 10 data per topic.