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2017 | OriginalPaper | Buchkapitel

Towards Predicting Stock Price Moves with Aid of Sentiment Analysis of Twitter Social Network Data and Big Data Processing Environment

verfasst von : Andrzej Romanowski, Michał Skuza

Erschienen in: Advances in Business ICT: New Ideas from Ongoing Research

Verlag: Springer International Publishing

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Abstract

This chapter illustrates design and evaluation of a sentiment analysis based system that may be used to predict future stock prices. Social media information is processed in order to extract opinions that are associated with Apple Inc. company. The authors took advantage of large datasets available from Twitter micro blogging platform and widely available stock market records. Data was collected during 3 months and processed for further analysis. Machine learning was employed to conduct sentiment classification of data in order to estimate future stock prices. Calculations were performed in distributed environment according to Map Reduce programming model. Evaluation and discussion of predictions results for different time intervals and input datasets is discussed in terms of efficiency and feasibility of the chosen approach.

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Titel: Towards Predicting Stock Price Moves with Aid of Sentiment Analysis of Twitter Social Network Data and Big Data Processing Environment
verfasst von: Andrzej Romanowski
Michał Skuza
Verlag: Springer International Publishing
Buch: Advances in Business ICT: New Ideas from Ongoing Research
Print ISBN: 978-3-319-47207-2

Electronic ISBN: 978-3-319-47208-9

Copyright-Jahr: 2017
DOI: https://doi.org/10.1007/978-3-319-47208-9_7

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