• Kavya S N
• Dr. Sudhamani M
• Jagadeesh M
• Abhishek M Anegundi

Text classification is the process of automatically categorizing text documents into a set of predefined classes. Ontology deals with similar terms and relationship that can be used to describe and represent area of knowledge. In this work, we categorize text to a given ontology by using the Knowledge of the document, knowledge represented in the form of ontology for categorizing documents. We experimented the on 20 newsgroup mini dataset, 20 newsgroup large dataset and Reuters-21578 datasets. Support Vector Machine (SVM) classifier is used to classify the text documents and performance of the classifier is measured in terms of accuracy and f-measures.

Text categorization, ontology, Support Vector Machine (SVM), knowledge representation, feature extraction

"Text Classification using Ontology Graph Representation through Bag of Words", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 12, page no.g222-g237, December-2023, Available :http://www.jetir.org/papers/JETIR2312631.pdf

"Text Classification using Ontology Graph Representation through Bag of Words", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 12, page no. ppg222-g237, December-2023, Available at : http://www.jetir.org/papers/JETIR2312631.pdf