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

Research Output:
Chapter in Book/Report/Conference proceeding
Conference contribution
 Peer-review

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.

Publication Information

Output type

Research Output:
Chapter in Book/Report/Conference proceeding
Conference contribution
 Peer-review

Original language

English

Pages from-to (Number of pages)

Pages 660-665

Publication milestones

  • Published - 04/02/2016

Publication status

Published - 04/02/2016

Publisher

Institute of Electrical and Electronics Engineers Inc., United States

ISBN (Print)

9781509019496

Publication IDs

  • handle.net: 10547/623854
  • Scopus: 84969922508

Host publication title

2015 IEEE Seventh International Conference on Intelligent Computing and Information Systems (ICICIS)

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Related Event

Title

IEEE International Conference on Intelligent Computing and Information Systems (ICICIS)

Description

IEEE International Conference on Intelligent Computing and Information Systems (ICICIS) (12/12/2015-14/12/2015, Cairo)

Event type

Conference

Date

12/12/2015 - 14/12/2015

Location

Cairo