Author : Ashwini Dhanne, Geetanjali Kale and Parag Kulkarni

Now a day’s numbers of documents on Internet are increasing. Many traditional searching techniques may not return most accurate results in some cases. This can overcome by considering context of document i.e. content profile. In this paper we have proposed a system which tries to address this issue with novel method of content profiling. Proposed system is using Naïve Bayes text classifier and Apriori association rule to build content profile. This system accepts document from users and reply with set of similar documents based on context of document. Here we are considering document context of both input document and stored documents. This gives system where searching can also be done without using keywords.Content profile: Set of simple sentences that capture essence of document.

Keywords: Clustering, classification, association rules, Feature extraction or construction, Information storage and retrieval, Content Analysis and Indexing, Information Search and Retrieval.

Article published in International Journal of Current  Engineering  and Technology, Vol.4,No.3 (June- 2014)