Text Document Clustering: Issues and Challenges
Maedeh Afzali, Suresh Kumar V · 2019
The text document clustering has become one of the foremost research areas in the field of data mining. The exponential growth of the textual data in today's digital world has bound the organizations to confront several challenges in organizing and browsing process. Although laborious work is done to make the process of clustering the text documents effortless, yet there are certain difficulties that emerge while dealing with a high volume of text documents. In this paper, the problems and challenges that come across while clustering a huge amount of text data are discussed and explained in detail.