This section contains a step-by-step scenario for how you might use a binary category. After the initial creation of the binary category, each step provides more than one example of possible actions.
Create a binary category.
action=BinaryCatCreate&Name=spam_binarycat
Train the new binary category (from a selection of indexed documents, free text, and files).
action=BinaryCatTrain&Name=spam_binarycat&PositiveDocID=123,456&NegativeDocID=789,890
action=BinaryCatCreate&Name=spam_binarycat&PositiveTraining=Get rich quick, join today&NegativeTraining=We should discuss the Jones file
action=BinaryCatCreate&Name=spam_binarycat&PositiveDirectory=C:\spampositive&NegativeDirectory=C:\spamnegative
Query some data using the binary category.
action=BinaryCatQuery&Name=spam_binarycat&QueryFile=C:\unknown_email.txt
action=BinaryCatQuery&Name=spam_binarycat&QueryText=Limited space available, apply today
The following sample shows a POSITIVE
result, with a score of 0.99664
from a binary category query:
<autnresponse xmlns:autn="'http://schemas.autonomy.com/aci/'"> <action> BINARYCATQUERY </action> <response> SUCCESS </response> <responsedata> <autn:queryresult> <autn:result> POSITIVE </autn:result> <autn:score> 0.99664 </autn:score> <autn:queryresult> </responsedata> </autnresponse>_FT_HTML5_bannerTitle.htm