View Component 25.4
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# Tag Documents into Clusters

After indexing, you can tag documents into clusters of similar documents. Tagging can be useful for grouping duplicate documents together.

Use the index action `DRETAGDOCCLUSTERS`. For information about the parameters and options available, refer to the Content Component Help.

## DRETAGDOCCLUSTERS Example

The Content component indexes three documents:

    #DREREFERENCE A
    #DREDBNAME Default
    #DREFIELD CHECKSUM="ABCD1234"
    #DRECONTENT
    apple banana cheese
    #DREENDDOC

    #DREREFERENCE B
    #DREDBNAME Default
    #DREFIELD CHECKSUM="ABCD1234"
    #DRECONTENT
    apple banana cheese
    #DREENDDOC

    #DREREFERENCE C
    #DREDBNAME Default
    #DREFIELD CHECKSUM="XYZ9876"
    #DRECONTENT
    apple banana data
    #DREENDDOC

After indexing, you send the following action:

    [...]/DRETAGDOCCLUSTERS?TagField=DOCUMENT/CLUSTERID&MinScore=60&TagSourceField=DOCUMENT/DREREFERENCE&MinID=1&MaxID=3&CheckSumField=DOCUMENT/CHECKSUM&TaggedDBName=tagged&RelevanceField=DOCUMENT/CLUSTERSCORE

The Content component modifies the data:

    #DREREFERENCE A
    #DREDBNAME Tagged
    #DREFIELD CHECKSUM="ABCD1234"
    #DREFIELD CLUSTERID="A"
    #DREFIELD CLUSTERSCORE="100.00"
    #DRECONTENT
    apple banana cheese
    #DREENDDOC

    #DREREFERENCE B
    #DREDBNAME Tagged
    #DREFIELD CHECKSUM="ABCD1234"
    #DREFIELD CLUSTERID="A"
    #DREFIELD CLUSTERSCORE="100.00"
    #DRECONTENT
    apple banana cheese
    #DREENDDOC

    #DREREFERENCE C
    #DREDBNAME Tagged
    #DREFIELD CHECKSUM="XYZ9876"
    #DREFIELD CLUSTERID="A"
    #DREFIELD CLUSTERSCORE="70.00"
    #DRECONTENT
    apple banana data
    #DREENDDOC

A is tagged as A because it does not match any existing clusters.

B is tagged as A because its `CHECKSUM` field matches A's.

C is tagged as A because it is similar to A and has a score higher than the specified `MinScore` (60).

Copyright 2025 Open Text
Version 25.4 | Last updated October 2025

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Product: Knowledge Discovery View Component 25.4

Topic Title: Tag Documents into Clusters