Finding patterns in time series: a dynamic programming approach
Advances in knowledge discovery and data mining
Using Natural-Language Processing to Produce Weather Forecasts
IEEE Expert: Intelligent Systems and Their Applications
A Study on Text Generation from Non-verbal Information on 2D Charts
CICLing '01 Proceedings of the Second International Conference on Computational Linguistics and Intelligent Text Processing
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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.