Estimating and Visualizing the Time-varying Effects of a Binary Covariate on Longitudinal Big Text Data
Shizue Izumi, Tetsuji Tonda, Noriyuki Kawano, Kenichi Satoh · The International journal of networked and distributed computing · 2017
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.