Abstract
In this paper, we propose a sophisticated technique for topic identification of documents based on event sequences using co-occurrence words. Here we consider each document as an event sequence, each event as a verb and some words correlated with the verb. We propose a new method for topic classification of documents by using Markov stochastic model. We show some experimental results to examine the method.
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Wakabayashi, K., Miura, T. (2008). Topics Identification Based on Event Sequence Using Co-occurrence Words. In: Kapetanios, E., Sugumaran, V., Spiliopoulou, M. (eds) Natural Language and Information Systems. NLDB 2008. Lecture Notes in Computer Science, vol 5039. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-69858-6_22
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DOI: https://doi.org/10.1007/978-3-540-69858-6_22
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-69857-9
Online ISBN: 978-3-540-69858-6
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