Information Retrieval Configuration File Text Categorization Algorithm for Improving Business Intelligence
Journal Title: International Journal of Computational Engineering and Management IJCEM - Year 2015, Vol 18, Issue 1
Abstract
Globalization has changed the very face of the business nature and many innovative techniques have emerged to cater to the need of the evolving business needs. With the aid of these new technologies, the raw information is mined to extract useful meaningful data to help the business grow. Plethora of information are textual based document and, the information in most cases are stored in an unordered manner, from this unordered collection of text document, the process of extracting information or deriving knowledge is termed as Text Mining. This paper proposes an methodology to implement the text mining technology to enhance the scope of Business Intelligence. A novel algorithm named information retrieval configuration file is proposed to extract useful information from a set of documents and employs a new technique in extraction where the information gained is relevant and efficient for business needs. This paper mainly focuses on the development of a new algorithm after analyzing and comparing it with the existing algorithm like support vector machine and hidden markov model.
Authors and Affiliations
V. Jayaraj and V. Mahalakshmi
Keywords
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