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    Analysis of the relationship between Saudi twitter posts and the Saudi stock market

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    Authors
    AL-Rubaiee, Hamed Saad
    Qiu, Renxi
    Li, Dayou
    Affiliation
    University of Bedfordshire
    Issue Date
    2016-02-04
    Subjects
    sentiment analysis
    Saudi Arabia
    stock market prediction
    Twitter
    data mining
    text mining
    
    Metadata
    Show full item record
    Abstract
    Sentiment analysis has become the heart of social media research and many studies have been applied to obtain users' opinion in fields such as electronic commerce and trade, management and also regarding political figures. Social media has recently become a rich resource in mining user sentiments. Social opinion has been analysed using sentiment analysis and some studies show that sentiment analysis of news, documents, quarterly reports, and blogs can be used as part of trading strategies. In this paper, Twitter has been chosen as a platform for opinion mining in trading strategy with the Saudi stock market in order to carry out and illustrate the relationship between Saudi tweets (that is standard and Arabian Gulf dialects) and the Saudi market index. To the best of our knowledge, this is the first study performed on Saudi tweets and the Saudi stock market.
    Citation
    Al-Rubaiee H, Qiu R, Li D (2016) 'Analysis of the relationship between Saudi twitter posts and the Saudi stock market', IEEE International Conference on Intelligent Computing and Information Systems (ICICIS) - Cairo, Institute of Electrical and Electronics Engineers Inc..
    Publisher
    Institute of Electrical and Electronics Engineers Inc.
    URI
    http://hdl.handle.net/10547/623854
    DOI
    10.1109/IntelCIS.2015.7397193
    Additional Links
    https://ieeexplore.ieee.org/abstract/document/7397193
    Type
    Conference papers, meetings and proceedings
    Language
    en
    ISBN
    9781509019496
    ae974a485f413a2113503eed53cd6c53
    10.1109/IntelCIS.2015.7397193
    Scopus Count
    Collections
    Computing

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