Relationship Analysis of Query and Answer Documents Based on Latent Dirichlet Allocation and Its Application

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  • OKAWA Junya
    Graduate School of Creative Science and Engineering, Waseda University
  • KUMOI Gendo
    School of Creative Science and Engineering, Waseda University
  • GOTO Masayuki
    School of Creative Science and Engineering, Waseda University

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Other Title
  • 潜在的ディリクレ配分法を用いた問合せ文書と回答文書の関係分析モデルとその応用に関する一考察
  • センザイテキ ディリクレ ハイブンホウ オ モチイタ トイアワセ ブンショ ト カイトウ ブンショ ノ カンケイ ブンセキ モデル ト ソノ オウヨウ ニ カンスル イチ コウサツ

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<p>These days, in many companies, QA (Question Answering) systems accepting the query about the system and service online are introduced. In this QA system, a Web form and emails are adopted, and it is possible to send the query in an electronic document format. At this time, it is the present conditions that the answer document corresponding to the query document is made in hands. Therefore, it is considered useful to improve the efficiency of business operations in a company if automation of answer documents writing work is possible by utilizing past query and answer history data. However, the contents of query documents vary widely, such as cases where automatic response are possible, and cases where individual correspondence are required. Therefore, it is difficult to learn all the query and answer documents from the beginning and automate the writing of answer documents. Therefore, in this research, we build the model to analyze the relation between query and answer documents. Finally, we apply the proposed model to the actual data of the query and answer documents stored in the QA system of a certain major company and verify the effectiveness.</p>

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