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Big data: web-crawling and analysing financial news using RapidMiner

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  • Jesse Lane
  • Hak J. Kim

Abstract

Big data today is one of the hottest topics in the ICT field, but still there are many questions around what it is, what it really means, and how it can be used. This paper presents the notion of big data and then attempts to analyse it using a typical analytics tool, which is called RapidMiner. We use actual real-world social media data as an empirical test. Our preliminary result shows that social media data does not provide valuable meaning to predict the future stock market. However, we believe that the analysis of big data is meaningful if more sophisticated methodology and data collection procedures are used.

Suggested Citation

  • Jesse Lane & Hak J. Kim, 2015. "Big data: web-crawling and analysing financial news using RapidMiner," International Journal of Business Information Systems, Inderscience Enterprises Ltd, vol. 19(1), pages 41-57.
    • Handle: RePEc:ids:ijbisy:v:19:y:2015:i:1:p:41-57
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    Cited by:

    1. Samuel Zanferdini Oliva & Livia Oliveira-Ciabati & Denise Gazotto Dezembro & Mário Sérgio Adolfi Júnior & Maísa Carvalho Silva & Hugo Cesar Pessotti & Juliana Tarossi Pollettini, 2021. "Text structuring methods based on complex network: a systematic review," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(2), pages 1471-1493, February.

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