A Novel Approach for Multi-Document Summarization using Jaccard and Cosine Similarity

Text summarization is process of getting summaries of multiple documents. Text summarization is very much essential for saving time and resources. Through text summarization knowledge can be grasped quickly. Getting summery is challenging process because relevant information needs to be retrieved. Text summaries essential to resolve the issues of information overload which demands access to reliable and properly crafted summaries. Users can quickly find the information they need using data minimization. Saving the time and effort from having to browse through the entire collection of documents is main advantage of text summarization. In this paper it is focussed on an extractive technique of text summarization using a sentence clustering approach. The hybrid approach deals with the novel method for comprising of document and sentence clustering using Jaccard and Cosine similarity method.