Construction of Rent Estimation Model for Restaurants Using Doc2Vec

DOI

Bibliographic Information

Other Title
  • Doc2Vecを用いた飲食店向け不動産店舗賃料推定モデルの構築

Abstract

<p>The rent for restaurants is determined based on tacit knowledge such as experience and intuition cultivated by veteran sales man of real estate companies. Determinants of the rent include static information that is specific to the property, dynamic information that is around the property, potential information that include features of the property. Potential information is difficult to index by veteran sales man. In this research, we propose a method using catch phrase given to property as potential information. We use the catch phrase that was vectorized by Doc2Vec, and in order to remove noise, we selected part of speech. As a result, the estimation accuracy was higher to select part of speech, and when multiple regression analysis was used, the highest coefficient of determination 0.611 was obtained.</p>

Journal

Keywords

Details 詳細情報について

  • CRID
    1390289225021791360
  • NII Article ID
    130008081674
  • DOI
    10.11517/jsaisigtwo.2019.sai-034_03
  • ISSN
    24365556
  • Text Lang
    ja
  • Data Source
    • JaLC
    • CiNii Articles
  • Abstract License Flag
    Allowed

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