• Viral Vala
• Prof. Abhijit Patankar

every day the mass of information available, merely finding the relevant information is not the only task of automatic text classification systems. Instead the automatic text classification systems are assumed to retrieve the relevant information and are organized according to their degree of relevance to the query. The main problem in organizing is to classify which documents are relevant and which are irrelevant. The Automated text classification consists of automatically organizing clustered data. In this survey we learned method of text classification using machine learning based on the bag of words. The closest ancestors of the senses of all the undamaged words in a given document are selected as classes for the specified document.

Descriptive clustering, feature selection, K-means clustering, model selection, machine learning

"Survey Paper on Descriptive Clustering of Documents on the Basis of Predictive Network", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 4, page no.154-156, April-2020, Available :http://www.jetir.org/papers/JETIR2004226.pdf

"Survey Paper on Descriptive Clustering of Documents on the Basis of Predictive Network", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 4, page no. pp154-156, April-2020, Available at : http://www.jetir.org/papers/JETIR2004226.pdf