Topics Identification Based on Event Sequence Using Co-occurrence Words

Authors:
Kei Wakabayashi;Takao Miura
Affiliations:
Dept.of Elect.& Elect. Engr., HOSEI University, Tokyo, Japan 184---8584;Dept.of Elect.& Elect. Engr., HOSEI University, Tokyo, Japan 184---8584
Venue:
NLDB '08 Proceedings of the 13th international conference on Natural Language and Information Systems: Applications of Natural Language to Information Systems
Year:
2008

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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.