International Journal of Applied Research on Information Technology and Computing
  • Year: 2017
  • Volume: 8
  • Issue: 3

Comparative Study on Text Mining Algorithms

1Assistant Professor, M.M. Institute of Computer Technology & Business Management, M.M. University, Mullana, Ambala, Haryana, India

2Associate Professor, M.M. Institute of Computer Technology & Business Management, M.M. University, Mullana, Ambala, Haryana, India

*(*Corresponding author) email id: shilpa.dang@mmumullana.org/dangshilpa2@gmail.com

**atulgarg1411@gmail.com/atul.garg@mmumullana.org

Abstract

The incredible growth of the Internet activities changes the life of the modern world. With the revolution of smart phones, the people in the modern world become closer to each other and their sharing of information is also increased. The Indian government is also motivating the people to use the digital word. As a result, the number of Internet users has increased. Further, heterogeneous information is stored on the server, and to me, this information is a big challenge. In the literature, various researchers are working to improve the efficiency of mining. In this paper, various algorithms are analysed and compared based on different parameters.

Keywords

Clustering, DBCA, HCA, Information retrieval, K-means, Text mining, Visualization