• Ishuka
• Komal Kumar Bhatia
• Sushil Kumar

As the information available over the internet is increasing day by day which result in information overload. Internet contains a huge number of pages related to the query. It extracts the irrelevant pages also and therefore it becomes cumbersome for a user to select the desired document. To resolve this problem we proposed a Novelty detection technique with text summarization. This work will provide the relevant and novel results to the user query. Automatic Summarization is one of the most attractive, and interesting topics for researchers to find out the relevant text from the huge bunch of documents. The key aim of this Automatic Text Summarization is to provide the users to get their data in the minimum period of time. Novelty Detection is a much needed requirement for good classification system. Here, an idea has been proposed to generate the novel document from the given sets of documents. Here we are merging two techniques extractive text summarization and novelty detection. The proposed idea provides enhanced results when compared with already existing work.

Extractive summary, Single document, Novelty and Novelty Detection.

"Novel Approach for Novelty detection using extractive summarization", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.141-154, June-2019, Available :http://www.jetir.org/papers/JETIR1906311.pdf

"Novel Approach for Novelty detection using extractive summarization", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp141-154, June-2019, Available at : http://www.jetir.org/papers/JETIR1906311.pdf