A document classification method by using field association words
Information Sciences—Informatics and Computer Science: An International Journal
Information Processing and Management: an International Journal
Extraction of field-coherent passages
Information Processing and Management: an International Journal
Documents similarity measurement using field association terms
Information Processing and Management: an International Journal
Automatic building of new field association word candidates using search engine
Information Processing and Management: an International Journal
Improvement of building field association term dictionary using passage retrieval
Information Processing and Management: an International Journal
Ranking of field association terms using Co-word analysis
Information Processing and Management: an International Journal
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Studying co-word relations between field association (FA) terms and candidate terms can provide valuable information which helps the machine to take the correct decision and append the candidate terms in their suitable place inside FA terms dictionary. In this paper, a pure automatic tool to build a dynamic FA terms dictionary is described. The concept of link power as well as modifications of the rules used to determine the FA terms level depending on the concept of links will be presented. The results showed that the precession and recall were improved. In our simulation, the average improvement was about 16%. Also the complete dynamic system was built and tested.