A Short Review on News Articles Clustering

Abstract

Data mining is a notion that has attracted a great deal of interest from a wide range of individuals and organizations as a result of the continuously increasing number of online users and the development of technology to link and exchange huge amounts of data and information. Text mining, a subfield of data mining, has become one of the most important research fields in recent years due to the rapid rise of textual data, which has reached petabytes. A considerable share of the total number of internet users find daily news stories to be of interest. Daily news data is provided by organizations such as Google and Yahoo, among others. In addition, people want to be informed of the most recent news, resulting in a massive amount of textual news data being released every minute by numerous news websites on the internet. In order to make the retrieval of huge data sets easier and more relevant, the administration and categorization of these enormous quantities of data are required. This study provides an overview of the studies on the clustering of news articles.