Upload sample records to train the model and to test whether
the model assigns the topics correctly.
Before you begin: Prepare a
.csv,
.xls,
or
.xlsx file with training and testing data, for example, previous
customer messages that have assigned categories.
Tip: To view the structure required for the training and testing data as well as
the sample records, in the Source selection wizard step, click
Download template.
-
In the Source selection wizard step, click Choose
file.
-
Select a .csv, .xls, or
.xlsx file with sample records for training and testing the
model.
Ensure that the file contains sample records with assigned categories.
- Optional:
To enable spellchecking, perform the following actions:
-
Select the Use spell checking check box.
-
To increase the accuracy of the model by correcting any spelling errors, expand the
Select spell checker list, and then select a Spelling Checker
Decision Data rule, if available.
CAUTION:
Enabling spellchecking can significantly increase the model training
time, depending on the size of the training sample. Spellchecking also has an impact on
real-time performance of the model.
-
Click Next.
What to do next: Split the uploaded data into a set for training the model and
a set for testing the model accuracy. For more information, see Defining the training and testing samples for topic detection.