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Topics Identification Based on Event Sequence Using Co-occurrence Words

机译:基于事件共现词的事件序列主题识别

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In this paper, we propose a sophisticated technique for topic identiflcation 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.
机译:在本文中,我们提出了一种基于事件序列并发单词的,用于文档主题识别的复杂技术。在这里,我们将每个文档视为一个事件序列,将每个事件视为一个动词以及一些与该动词相关的单词。本文提出了一种基于马尔可夫随机模型的文档主题分类新方法。我们显示了一些实验结果来检验该方法。

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