Title: A Study for Analysis of Stock Price Information Through Extraction of News Articles
Abstract: For stock investors, news articles serve as an important basis for stock trading signals. In particular, the user who receives the information verifies whether the information is correct, and then buys and sells. At this time, the purchase and the sale often fail due to the delay of information verification. Therefore, in this paper, we conducted a news event extraction and researched a system that provides meaningful information through learning by extracting relevant stocks for 18 years of news data and stock price data, and classifying them into five levels. The system provides information using past stock analysis and real-time news and stock price capture data. In addition, it shortens investors’ judgment by providing real-time news on the stocks in real time.
Publication Year: 2021
Publication Date: 2021-01-01
Language: en
Type: book-chapter
Indexed In: ['crossref']
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