TY - GEN
T1 - Learning value-added information of asset management from analyst reports through text mining
AU - Takahashi, Satoru
AU - Takahashi, Masakazu
AU - Takahashi, Hiroshi
AU - Tsuda, Kazuhiko
PY - 2005
Y1 - 2005
N2 - Text mining, one of the emerging fields of data mining, aims at acquiring useful knowledge from text data. In the asset management in finance task domain, although there exist various text data like accounting settlement or analysts' reports, few research and development have been conducted. In this paper, we will explore the feasibility to extract valuable knowledge for asset management through text mining using analyst reports as text data. We will analyze the relationship between text data and numerical data. From empirical study on the practical data, we have confirmed the effectiveness: (1) the extracted keywords are influential to the stock prices, (2) such information is more effective to the large-cap stocks, and (3) such keyword information become more valuable by using numerical information together.
AB - Text mining, one of the emerging fields of data mining, aims at acquiring useful knowledge from text data. In the asset management in finance task domain, although there exist various text data like accounting settlement or analysts' reports, few research and development have been conducted. In this paper, we will explore the feasibility to extract valuable knowledge for asset management through text mining using analyst reports as text data. We will analyze the relationship between text data and numerical data. From empirical study on the practical data, we have confirmed the effectiveness: (1) the extracted keywords are influential to the stock prices, (2) such information is more effective to the large-cap stocks, and (3) such keyword information become more valuable by using numerical information together.
UR - http://www.scopus.com/inward/record.url?scp=33745300975&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=33745300975&partnerID=8YFLogxK
U2 - 10.1007/11554028_110
DO - 10.1007/11554028_110
M3 - Conference contribution
AN - SCOPUS:33745300975
SN - 354028897X
SN - 9783540288978
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 785
EP - 791
BT - Knowledge-Based Intelligent Information and Engineering Systems - 9th International Conference, KES 2005, Proceedings
PB - Springer Verlag
T2 - 9th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, KES 2005
Y2 - 14 September 2005 through 16 September 2005
ER -