Processing financial data in big data distributed environment using sentiment analysis
Ładowanie...
Data
2014
Autorzy
Tytuł czasopisma
ISSN czasopisma
Tytuł tomu
Wydawca
Wydawnictwo Politechniki Łódzkiej
Lodz University of Technology Press
Lodz University of Technology Press
Abstrakt
This 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.[...]
Opis
Słowa kluczowe
przetwarzanie danych finansowych, analiza nastrojów, przewidywanie przyszłych cen akcji, media społecznościowe - wykorzystanie w badaniach, Big data, financial data processing, sentiment analysis, predicting future stock prices, social media - use in research
Cytowanie
Skuza 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.