An Extraction Method of Time-Series Numerical Data from Press Releases Using Co-Occurrence Conditions of Numbers and Time Stamps Related to Target Business Keyword

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  • Samejima Masaki
    Osaka University, Graduate School of Information Science and Technology
  • Gen Mayu
    Osaka University, Graduate School of Information Science and Technology
  • Nakazaki Takeshi
    Osaka University, Graduate School of Information Science and Technology
  • Akiyoshi Masanori
    Osaka University, Graduate School of Information Science and Technology
  • Komoda Norihisa
    Osaka University, Graduate School of Information Science and Technology

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Other Title
  • 事業キーワードに関係する数値と時期記述の共起条件を用いたプレスリリースからの時系列数値データ抽出方式
  • ジギョウ キーワード ニ カンケイスル スウチ ト ジキ キジュツ ノ キョウキ ジョウケン オ モチイタ プレス リリース カラノ ジケイレツ スウチ データ チュウシュツ ホウシキ
  • An extraction method of time‐series numerical data from press releases by using co‐occurrence conditions of numbers and time stamps related to target business keywords

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Description

A method to extract time series data about a specific matter related to the business from press releases of a company is proposed. In press releases of a company, a numerical data about a specific matter often co-occurs with specific words. From this view point, when keywords are input, our system extracts a set of numerical data and time stamp that co-occurs with them. Our system extracts numerical data close to keywords based on the word-distance, and time stamps are extracted in the same manner. The expression of extracted data is unified for visualization. Through applied results to the press releases of several kinds of documents, it is confirmed that the accuracy of the extracted numerical data by this proposed method is good enough to support business analysis.

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