Skuza, MichałRomanowski, Andrzej2021-05-052021-05-052014Skuza M., Romanowski A., Processing financial data in big data distributed environment using sentiment analysis. W: Modelling and Identification Algorithms for Emerging Applications in Data and Signal Processing, Romanowski A. (red.), Sankowski D. (red.), Tadeusiewicz R. (red.), Wydawnictwo Politechniki Łódzkiej, Łódź 2014, s. 95-107 , ISBN 978-83-7283-575-8.978-83-7283-575-8http://hdl.handle.net/11652/3413This chapter covers design, implementation and evaluation of a system, which predicts future stock prices basing on analyses of data from social media services. The authors took advantage of available large datasets from Twitter micro blogging platform and stock markets. Data was collected during three months and processed for further analysis. Machine learning was employed to conduct sentiment classification of data coming from social networks in order to estimate future stock prices. Calculations were performed in distributed environment according to Map Reduce programming model. Evaluation and discussion of preliminary results of predictions for different time intervals and input datasets proved efficiency of chosen approach.[...]enprzetwarzanie danych finansowychanaliza nastrojówprzewidywanie przyszłych cen akcjimedia społecznościowe - wykorzystanie w badaniachBig datafinancial data processingsentiment analysispredicting future stock pricessocial media - use in researchrozdział książki