Double-click the tModelEncoder component labeled Tokenize to
open its Component view. This component
tokenize the SMS messages into words.
- Click the Sync columns button to retrieve the schema from the preceding one.
- Click the [...] button next to Edit schema to open the schema editor.
On the output side, click the [+] button to add one row and in the Column column, rename it to
sms_tokenizer_words. This column is used to carry the
- In the Type column, select Object for this sms_tokenizer_words row.
- Click OK to validate these changes.
In the Transformations
table, add one row by clicking the [+]
button and then proceed as follows:
- In the Input column column, select the column that provides data to be transformed to features. In this scenario, it is sms_contents.
- In the Output column column, select the column that carry the features. In this scenario, it is sms_tokenizer_words.
- In the Transformation column, select the algorithm to be used for the transformation. In this scenario, it is Regex tokenizer.
- In the Parameters column, enter the parameters you want to customize for use in the algorithm you have selected. In this scenario, enter pattern=\\W;minTokenLength=3.
Using this transformation, tModelEncoder splits each input message by whitespace, selects only the words contains at least 3 letters and put the result of the transformation in the sms_tokenizer_words column. Thus currency symbols, numeric values, punctuations and words such as a, an or to are excluded from this column.