System Analysis and Design for Document Classification

Abstract

The text-mining process starts with a keyword search in text collections. Current text processing technology allows a search technique beyond simple Boolean searches by using natural language queries. Since search engines can recognize any of thousands of keywords and phrases but not the concepts behind the text, it is necessary for researchers to construct an automatic keyword extractor to generate the “Keyword List” for each document. Later, this list can act as the knowledge base to associate unorganized documents to meaningful classes. Failures in identifying the keywords for a certain concept will result in missing values or data for that specific concept.