Abstract
In text mining, when we need more precise information than word frequencies such as the relationships among words, it is necessary to extract frequent patterns of words with a dependency structure in a sentence. This paper proposes a semi-structure mining method for extracting frequent patterns of words with a dependency structure from a text corpus. First, it describes the data structure representing the dependency structure. This is a tree structure in which each node has multiple items. Then, a mining algorithm for this data structure is described. Our method can extract frequent patterns that cannot be extracted by conventional methods.
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Sato, I., Nakagawa, H. (2007). Semi-structure Mining Method for Text Mining with a Chunk-Based Dependency Structure. In: Zhou, ZH., Li, H., Yang, Q. (eds) Advances in Knowledge Discovery and Data Mining. PAKDD 2007. Lecture Notes in Computer Science(), vol 4426. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-71701-0_85
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DOI: https://doi.org/10.1007/978-3-540-71701-0_85
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-71700-3
Online ISBN: 978-3-540-71701-0
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