TLA node output

After running the Text Link Analysis node, the data are restructured. It is important to understand the way that text mining restructures your data. If you desire a different structure for data mining, you can use nodes on the Field Operations palette to accomplish this. For example, if you were working with data in which each row represented a text record, then one row is created for each pattern uncovered in the source text data. For each row in the output, there are 15 fields:

Six fields (Concept#, such as Concept1, Concept2, ..., and Concept6) represent any concepts found in the pattern match.
Six fields (Type#, such as Type1, Type2, ..., and Type6) represent the type for each concept.
Rule Name represents the name of the text link rule used to match the text and produce the output.
A field using the name of the ID field you specified in the node and representing the record or document ID as it was in the input data
Matched Text represents the portion of the text data in the original record or document that was matched to the TLA pattern.

Note: Any preexisting streams containing a Text Link Analysis node from a release prior to 5.0 may not be fully executable until you update the nodes. Certain improvements in later versions of IBM® SPSS® Modeler require older nodes to be replaced with the newer versions, which are both more deployable and more powerful.

It is also possible to perform an automatic translation of certain languages. This feature enables you to mine documents in a language you may not speak or read. If you want to use the translation feature, you must have access to the SDL Software as a Service (SaaS). See the topic Translation Settings for more information.