A Fuzzy Similarity-based Approach for Multi-label Document Classification
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资源说明:Multi-label document classification concerns
the determination of categories in the situation where one
document may belong to more than one category. In this
paper we propose a fuzzy similarity-based approach for
multi-label document classification. For a test document,
the scores of its relevance to the classes are calculated based
on a modified fuzzy similarity measure. The test document
is then decided to belong to every class whose score passes a
threshold. To make the system adaptive, we provide a
heuristic approach to find a score threshold automatically
for each class. Experimental results show that our proposed
method is more effective and efficient than other existing
methods.
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