International Journal of Computer Applications |
Foundation of Computer Science (FCS), NY, USA |
Volume 176 - Number 25 |
Year of Publication: 2020 |
Authors: Kshitija G. Deshmukh, S. A. Itkar |
10.5120/ijca2020920248 |
Kshitija G. Deshmukh, S. A. Itkar . Survey on Research Paper Classification based on TF-IDF and Stemming Technique using Classification Algorithm. International Journal of Computer Applications. 176, 25 ( May 2020), 23-27. DOI=10.5120/ijca2020920248
Classification System is the system of categorizing objects into classes or into groups of classes. It is used in many wide applications including text classification, web page classification, image classification, research paper classification etc. Various research papers are published online and offline. Text classification and class prediction is important for paper classification to reduce the feature size and to speed up the learning process of classifiers. Text classification is a growing interest within the research of text mining. This paper presents a survey on classification algorithm and stemming technique used for Text classification.