Application of data mining for identifying topics at the document level

Marifa Farzin Reza, Rizwana Matin · 2013

Data mining techniques are very popular in modern days and are used in NLP (Natural Language Processing). It allows users to analyze data from many different perspectives, categorize it, and summarize the relationships identified. One of the techniques, clustering items to groups, has been very popular. We use this technique here to find different topics in a document. We aim to replicate previous results and empirically verify this measure to identify hypothetical topic boundaries.

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