纵向大文本数据中二元协变量时变效应的估计和可视化

Int. J. Networked Distributed Comput. Pub Date : 2017-10-01 DOI:10.2991/ijndc.2017.5.4.6

S. Izumi, T. Tonda, N. Kawano, K. Satoh

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引用次数: 1

摘要

我们提出了一种方法来估计和可视化二进制协变量对纵向观察文本数据的影响。我们的方法包括一系列的分析方法:通过形态学分析提取关键字，估计关键字出现和频率的二元协变量的时变回归系数，对估计的汇总进行分类，并在动画散点图中可视化二元协变量的时变效应。该程序用在两个城市观察了四十年的《和平宣言》文本数据进行了演示。

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Estimating and Visualizing the Time-varying Effects of a Binary Covariate on Longitudinal Big Text Data

We propose a method to estimate and visualize effects of a binary covariate on the longitudinally observed text data. Our method consists of series of analytical methods: extracting keywords through a morphological analysis, estimating the time-varying regression coefficient of a binary covariate for keyword's appearance and frequency, classifying summary of estimates, and visualizing the time-varying effects of a binary covariate in animated scatter plots. The procedure is demonstrated with Peace Declaration text data observed for forty years in two cities.

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Int. J. Networked Distributed Comput.

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