Expression of Time Series in Natural Language with Global Trends and Local Features

DOI

Bibliographic Information

Other Title
  • 全体的傾向と局所的特徴に基づく時系列データの言葉による表現

Description

We have many kinds of data of time series such as stock prices. We understand them via their natural language expressions. We, therefore, proposed a method to express a global trend of time series in a natural language. In this paper, we propose a method to extract outstanding local features to express largely varying time series. We generate data of time series for the global trend via fuzzy rule expressions of the global trend and extract local features as the position of large difference between the original data and the global trend. We apply the method to the data of Workshop on Multimodal Summarization for Trend Information (MuST).

Journal

Keywords

Details 詳細情報について

  • CRID
    1390001205667322496
  • NII Article ID
    130004591439
  • DOI
    10.14864/fss.22.0.85.0
  • Text Lang
    ja
  • Data Source
    • JaLC
    • CiNii Articles
  • Abstract License Flag
    Disallowed

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