مشاهده‌ مشخصات مقاله

Improving the Classification of Unknown Documents by Concept Graph

Authors	Morteza Mohaqeqi Reza Soltanpoor Azadeh Shakery
Conference	چهاردهمین کنفرانس بین‌المللی سالانه انجمن کامپیوتر ایران
Abstract	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.
قیمت	برای اعضای سایت : 100,000 Rial برای دانشجویان عضو انجمن : 20,000 Rial برای اعضای عادی انجمن : 40,000 Rial

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