A Topic Structuration Method on Time Series for a Meeting from Text Data
A Topic Structuration Method on Time Series for a Meeting from Text Data
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一种基于文本数据的会议时间序列主题构造方法
DOI：
10.1007/978-3-319-62048-0_4
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发表时间：
2017
期刊：
影响因子：
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通讯作者：
K. Ohashi
中科院分区：
文献类型：
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作者：
R. Okada,T. Nakanishi,Y. Tanaka;Y. Ogasawara;K. Ohashi
在本文中，我们提出了一种对话结构分析方法，将会议中主题的转变可视化为对话过程表示之一。我们的方法按时间序列提取会议中的主题。另外，我们定义了一个指标来评估整个会议在每个阶段的重要性。通过这个索引，我们可以代表会议的重要阶段。在公司等组织中，提高会议效率非常重要，因为会议时间在工作时间中占据很大比例。要分析会议对话的内容和发言流程，提高会议效率。一般来说，提高会议效率就是改进会议形式，如预先共享文件、保留时间、明确成员角色、指定主持人等。我们的方法提供了会议对话中言论流的可视化之一。在本文中，我们还使用实际会议的文本数据进行了一些初步实验。
In this paper, we present a dialogue structure analysis method to visualize the transition of topics in a meeting as the one of dialogue process representation. Our method extracts topics in a meeting on time series. In addition, we define an index to assess the importance of the whole meeting in each phase. By this index, we can represent important phases in the meeting. In organizations such as companies, it is important to improve the efficiency of a meeting, because the meeting time occupies a large proportion in business hours. We should analyze contents and flows of remarks in dialogue on meetings in order to improve efficiency of a meeting. Generally, improving the efficiency of a meeting is improving the form of a meeting, such as pre-sharing of documents, keeping time, clarification of roles of members, and appointing a facilitator. Our method provides the one of the visualization for the flow of remarks in dialogue in a meeting. In this paper, we also represent some preliminary experiment by using text data for actual meetings.
DOI：
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发表时间：
2001
期刊：
影响因子：
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作者：
D. Cameron
通讯作者：
D. Cameron