Domain Based Classification of Punjabi Text Documents using Ontology and Hybrid Based Approach
نویسندگان
چکیده
Classification of text documents become a need in today’s world due to increase in the availability of electronic data over internet. Till now, no text classifier is available for the classification of Punjabi documents. The objective of the work is to find best Punjabi Text Classifier for Punjabi language. Two new algorithms, Ontology Based Classification and Hybrid Approach (which is the combination of Naïve Bayes and Ontology Based Classification) are proposed for Punjabi Text Classification. A corpus of 180 Punjabi News Articles is used for training and testing purpose of the classifier. The experimental results conclude that Ontology Based Classification (85%) and Hybrid Approach (85%) provide better results in comparison to standard classification algorithms, Centroid Based Classification (71%) and Naïve Bayes Classification (64%).
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Domain Based Classification of Punjabi Text Documents
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