Rafusion 2013 SIAM: SIAM International Conference on Data Mining (SDM13), Amerika Birleşik Devletleri, 01 Mayıs 2013, ss.15-16
Is the concept of stock market speculations, related with the news in the news papers? This study mainly focus on the correlation between economy news from one of the highest circulation rate news paper in Turkey and Istanbul stock market closing values. Data set is collected from the web page of news paper in natural language and text mining technique, term frequency – inverse document frequency is applied over these news. On the other hand the stock market values are evaluated as a signal processing job and random walk method has been applied on it. The two feature vectors are correlated with several classification algorithms such as support vector machines, k- nearest neighborhood and artificial neural networks. The results show that there is a weakly relation over 43% between the news and stock market closing values. We believe this research would be beneficiary for the literature to create some stock market estimation tools from the economy news or market strength analysis.