TY - GEN
T1 - Analysis of the relation between stock price returns and headline news using text categorization
AU - Takahashi, Satoru
AU - Takahashi, Masakazu
AU - Takahashi, Hiroshi
AU - Tsuda, Kazuhiko
PY - 2007
Y1 - 2007
N2 - In this paper, we analyze about the relation between stock price returns and Headline News. Headline News is very important sources of information in asset management, and is sent in large quantities every day. We study the effect of more than 13,000 Headline News sent from JIJI PRESS. We classify Headline News using Text Categorization and analyze the reaction of a stock price return for every type of News. From our research, we figure out following issues; 1) we make the Text Categorization System that has about 80% of classification accuracy, 2) this system can extract effective information to stock price returns from Headline News.
AB - In this paper, we analyze about the relation between stock price returns and Headline News. Headline News is very important sources of information in asset management, and is sent in large quantities every day. We study the effect of more than 13,000 Headline News sent from JIJI PRESS. We classify Headline News using Text Categorization and analyze the reaction of a stock price return for every type of News. From our research, we figure out following issues; 1) we make the Text Categorization System that has about 80% of classification accuracy, 2) this system can extract effective information to stock price returns from Headline News.
KW - Headline news
KW - Naive bayes
KW - Stock price return
KW - Text mining
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U2 - 10.1007/978-3-540-74827-4_167
DO - 10.1007/978-3-540-74827-4_167
M3 - Conference contribution
AN - SCOPUS:38049089377
SN - 9783540748267
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 1339
EP - 1345
BT - Knowledge-Based Intelligent Information and Engineering Systems
T2 - 11th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems, KES 2007, and 17th Italian Workshop on Neural Networks, WIRN 2007
Y2 - 12 September 2007 through 14 September 2007
ER -