Domain Based Classification of Punjabi Text Documents

With the dramatic increase in the amount of content available in digital forms gives rise to a problem to manage this online textual data. As a result, it has become a necessary to classify large texts (documents) into specific classes. And Text Classification is a text mining technique which is used to classify the text documents into predefined classes. Most text classification techniques work on the principle of probabilities or matching terms with class name, in order to classify the documents into classes. The objective of this work is to consider the relationship among terms. And for this, Sports Specific Ontology is manually created for the first time. Two new algorithms, Ontology Based Classification and Hybrid Approach are proposed for Punjabi Text Classification. The experimental results conclude that Ontology Based Classification (85%) and Hybrid Approach (85%) provide better results.