Automatic Text Document Summarization
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2016, Vol 4, Issue 1
Abstract
Conventional Information Retrieval approaches are insufficient for the increasingly vast amounts of text data. Typically, only a small amount of the many available documents will be applicable to a given individual or user. Users need tools to compare different documents, rank the importance and relevance of the documents, or find patterns and trends across multiple documents. The amount of information available electronically is growing. So there is increasing demand for automatic method for text summarization. Text summarization is process of reducing the size of text document while preserving its information content. We are going to work on automated creation of summaries of one or more text documents using similarity measure algorithm – cosine similarity.
Authors and Affiliations
Prof. Nihar Ranjan, Pranay N. Lonkar, Sanket M. Sathe, Nayan A. Shendre
Keywords
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