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Generating Market Comments on Stock Price Fluctuations Using Neural Networks

Authors:
Ibuki Sekino
Minoru Sasaki

Keywords: Generate market comments; Stock price fluctuation; Nikkei Stock Average

Abstract:
In recent years, there has been a lot of interest in techniques for generating market comments from stock prices automatically. However, even today, it is still manually generated by analyst. In this paper, we propose a method for generating "comments on stock price fluctuations" included in market comments in order to reduce the workload of analysts. The proposed method learns stock price fluctuations and the corresponding expressions, generates comments, and completes market conditions comments by assigning them to prepared canned sentences. As a result of our experiments, we found that the features used to generate them are effective and the proposed method can accurately generate market comments.

Pages: 37 to 41

Copyright: Copyright (c) IARIA, 2021

Publication date: July 18, 2021

Published in: conference

ISSN: 2308-4375

ISBN: 978-1-61208-874-7

Location: Nice, France

Dates: from July 18, 2021 to July 22, 2021