A Topic Structuration Method on Time Series for a Meeting from Text Data
| Autor: | Yutaka Ogasawara, Takafumi Nakanishi, Kazuhiro Ohashi, Ryotaro Okada, Yuichi Tanaka |
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| Rok vydání: | 2017 |
| Předmět: |
Structure analysis
Computer science 05 social sciences Process representation 02 engineering and technology Data science Visualization Index (publishing) Business hours Order (business) 020204 information systems Facilitator 0202 electrical engineering electronic engineering information engineering 0501 psychology and cognitive sciences 050107 human factors |
| Zdroj: | Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing ISBN: 9783319620473 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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