Using the Text Link Analysis node in a stream
The Text Link Analysis node is used to access data and extract concepts in a stream. You can use any source node to access data.
Example: Statistics File node with the Text Link Analysis node
The following example shows how to use the Text Link Analysis node.
- Statistics File node (Data tab). First, we added this
node to the stream to specify where the text is stored.
Figure 2. Statistics File node dialog box: Data tab 
- Text Link Analysis node (Fields tab). Next, we
attached this node to the stream to extract concepts for downstream modeling or viewing. We
specified the ID field and the text field name containing the data, as well as other settings.
Figure 3. Text Link Analysis node dialog box: Fields tab 
- Table node. Finally, we attached a Table node to view
the concepts that were extracted from our text documents. In the table output shown, you can see the
TLA pattern results found in the data after this stream was executed with a Text Link Analysis node.
Some results show only one concept/type was matched. In others, the results are more complex and
contain several types and concepts. Additionally, as a result of running data through the Text Link
Analysis node and extracting concepts, several aspects of the data are changed. The original data in
our example contained 8 fields and 405 records. After executing the Text Link Analysis node, there
are now 15 fields and 640 records. There is now one row for each TLA pattern result found. For
example,
ID 7became three rows from the original because three TLA pattern results were extracted. You can use a Merge node if you want to merge this output data back into your original data.
