Verbal Explaining of the Behavior of Time-Series Data
Ichiro Kobayashi, Naoko Okumura · 2008
We propose a method to generate a verbal report on the trends of stock price. The trends of the stock price is observed by the behavior of numerical data expressed in a 2D chart. Since its behavior reflects the shape of the chart, in order to recognize the behavior in qualitative and quantitative ways, we use least squares to mathematically recognize the shape and express it with words that often appear in news articles reporting the trends of stock prices. Our proposed method can change non-verbal information into verbal information-this provide us with high accessibility and usability for various kinds of information.