The training phase of a textual data mining process involves
A) removing common words from a dictionary.
B) creating an attribute dictionary.
C) determining whether a document is about the topic under investigation.
D) modifying an initially created attribute dictionary.

Question

Quizplus · Accepted Answer

The training phase of a textual data mining process involves creating an attribute dictionary that contains the keywords or terms that are relevant to the topic under investigation. The attribute dictionary will be used to classify or categorize the documents based on their content. Removing common words from a dictionary and modifying an initially created attribute dictionary can be done in the pre-processing phase. Determining whether a document is about the topic under investigation is done in the classification phase.

The Training Phase of a Textual Data Mining Process Involves