Extracting stock market news on social network by applying R Programming

• Main Authors: Anupong, Sukprasert, Salim, Naomie
• Format: Conference or Workshop Item
• Published: 2015
• Subjects: QA76 Computer software
• Online Access: http://eprints.utm.my/id/eprint/63433/; https://rome2014.sched.com/
• Institution: Universiti Teknologi Malaysia

This paper aims to present the analysis of stock market trends related to the macroeconomic factors affecting the fluctuation of stock market. The factors include political events, firms? policies, general economic conditions, investors' expectations, institutional investors' choices, movement of other stock markets, and psychology of investors. This study focuses on the macroeconomic factors in the form of news on a social network influencing the stock prices in the stock market. The observed factors have influenced macroeconomics whilst the trends of driving stock prices influenced by those could be upward, downward, or sideways by applying R programming together with R package to attain and analyse the data from the website.