Extraction and reorganization of topic transition patterns in recorded document

这项研究提出了一个以时间顺序为中心的系统，该系统集中了一段时间内积累的文件。它从文档中提取和重组主题及其转换，以获取知识。它将每个文档分解为更小的文本片段，并将它们分组为片段簇。我们将一组文本片段视为一个主题。系统根据经过的时间生成文档组，并计算相邻文档组中主题的相关性。然后是题目和题目的过渡。它可以对主题进行分类，包括临时主题和固定主题。它还通过用户指定的关键字重新组织主题及其转换。

This research proposed a system which focused chronological order of documents had accumulated over a period of time. It extracted and reorganized topics and its transitions from documents to acquire knowledge. It decomposed each document into smaller text fragments and grouped them into clusters of fragments. We regarded a cluster of text fragments as a topic. The system made document groups based on elapsed time, and calculated relevance of topics in neighboring document groups. Then it obtained topics and their transition. It could sort out topics temporal topics and constant topics. It also reorganized topics and their transition with keywords indicated by a user.