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Extraction of News Articles Related to Stock Price Fluctuation Using Sentiment Expression

Authors:
Kazuto Tanaka
Minoru Sasaki

Keywords: economic articles extraction; sentiment analysis; Nikkei Stock Average

Abstract:
In recent years, various economic reports are published and they are important tools in all markets. However, it is necessary to consult a lot of news articles in order to write an economic report. In this paper, we propose a method for effectively extracting news articles including important events related to the fluctuation of the Nikkei Stock Average by using Japanese sentiment lexicons. The results of the experiments show that the proposed method reduces the number of articles by about half and retrieves relevant documents better than the method using only stock price fluctuations. Therefore, the Japanese sentiment lexicons is effective for extracting news articles including important events.

Pages: 32 to 36

Copyright: Copyright (c) IARIA, 2021

Publication date: April 18, 2021

Published in: conference

ISSN: 2308-3557

ISBN: 978-1-61208-850-1

Location: Porto, Portugal

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