Text Generation for Explaining the Behavior of 2D Charts: With an Example of Stock Price Trends
نویسندگان
چکیده
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 a chart, in order to recognize the behavior in qualitative and quantitative ways, we use the least squares to mathematically recognize the shape and expressed 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.
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