Text Mining For Information Retrieval by Cosine Similarity Measure

Abstract

This paper can describe a similarity-based retrieval framework that addresses the challenges associated with the relational database text documents. This system proposes to automatically classify documents based on the meanings of words and the relationships between groups of meanings or concepts. There may be find similar documents based on a set of common keywords and retrieved these documents based on the degree of relevance which is measured on the relative frequency of the keywords. So, this system will measure similarity between new and old thesis document description to detect duplicate system that is used in case study.