Abstract
This paper briefly describes the background of text filtering and proposes an example-based Chinese text filtering model. It analyzes the structure of the texts as example, extracts the keywords from the texts by means of the text hierarchical analysis presented in this paper, constructs the user profiles which consist of the keywords above, and then filters the new text collections. Consequently, based on the user feedback, it expands the number of example texts, applies the approach of Latent Semantic Indexing to filter texts, and updates the user profiles to improve the efficiency of text filtering systems.
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© 1999 Springer-Verlag Berlin Heidelberg
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Hongfei, L., Xuegang, Z., Tianshun, Y. (1999). Example-Based Chinese Text Filtering Model. In: Hui, L.C.K., Lee, DL. (eds) Internet Applications. ICSC 1999. Lecture Notes in Computer Science, vol 1749. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-46652-9_45
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DOI: https://doi.org/10.1007/978-3-540-46652-9_45
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-66903-6
Online ISBN: 978-3-540-46652-9
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