ブログ注目情報を用いた株価変動キーワード抽出の試み

概要

論文の詳細を見る
This paper presents an extraction method of keywords related with actual changes of stock price from bloggers hot topics. We realized the computer program to collect bloggers hot topics about stocks and actual stock prices. Then, the important keywords, which have correlation with changes of the stock prices, are selected based on stochastic complexity. We classify information of stock price changes by using text classification method such as Naive Bayes method and decision tree learning. We confirm the effectiveness of our method through the classification experiment.