مشاهده مشخصات مقاله
Improving the Classification of Unknown Documents by Concept Graph
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نویسنده (ها) |
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Morteza Mohaqeqi
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Reza Soltanpoor
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Azadeh Shakery
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مربوط به کنفرانس |
چهاردهمین کنفرانس بینالمللی سالانه انجمن کامپیوتر ایران |
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چکیده |
Concept graph is a graph that represents the
relationships between language concepts. In this
structure the relationship between any two words is
demonstrated by a weighted edge such that the value of
this weight is interpreted as the degree of the relevance
of two words. Having this graph, we can obtain most
relevant words to a special term. In this paper, we
propose a method for improving the classification of
documents from unknown sources by means of concept
graph. In our method, initially some features are
selected from a training set by a well-known feature
selection algorithm. Then, by extracting most relevant
words for each class from the concept graph, a more
effective feature set is produced. Our experimental
results identify an improvement of 1% and 8% in
precision and recall measures, respectively. |
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قیمت |
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برای اعضای سایت : ۱٠٠,٠٠٠ ریال
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برای دانشجویان عضو انجمن : ۲٠,٠٠٠ ریال
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برای اعضای عادی انجمن : ۴٠,٠٠٠ ریال
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خرید مقاله
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