Summary: | 碩士 === 國立中正大學 === 資訊工程所 === 95 === Some systems are built to manage those information, like information
classification which differentiates between the useful and the
useless or classifies information into categories. Currently, we
found that some jobs are described into words, so we can assign jobs
according to the words. This concept could be used in dispatching
official documents. If we use techniques of document classification,
dispatching official documents (job assignments) would be done
automatically or semi-artificially. Automatic job-assignment could
not only save human effort but maintain the knowledge and keep the
precision of the assignment. Considering performance and efficiency
of the system, we use the statistical method of document
classification to calculate the possibility of each category by term
frequencies as term weights and continuous terms for increasing
weights. In our simulation, the whole classification procedure costs
less than 20 ms even if there are 40000 documents in the domain
knowledge, and the precision of our method could reach 70%.
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