Cross-Language Text Filtering Based on Text Concepts and kNN
نویسندگان
چکیده
This paper presents the model that can be used to filter the texts which the user is interested in from a large scale of source texts in Chinese or in English. Each text which the user is interested in can be represented as a vector in the vector space of classifiable sememes. The text to be sifted is represented as a vector too. The relevance of the text to the user can be measured by using the cosine angle between the text and its k nearest neighbor in the vector space. Experiments have been done and their results show that this scheme yields good results .
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عنوان ژورنال:
- IJCLCLP
دوره 7 شماره
صفحات -
تاریخ انتشار 2002