DocumentCode :
3649682
Title :
Analysis of the relation between Turkish twitter messages and stock market index
Author :
Mehmet Ulvi Şimşek;Suat Özdemir
Author_Institution :
Computer Engineering Department, Faculty of Engineering, Gazi University, Ankara, TURKEY
fYear :
2012
Firstpage :
1
Lastpage :
4
Abstract :
The increasing popularity of social networks also increased the amount of data collected in these networks. Online social applications, which are also defined as social media, provide ways of accessing large amounts of data about their users over the Internet. Not surprisingly, researchers started to focus on the data extraction process in these networks. In this context, data mining applications and data analysis allow researchers to extract some useful information about the masses and people. In this study, we examine a Turkish twitter data set using data mining techniques. Initially, Turkish tweet dataset is collected and emotional words are determined. An analysis is carried out to see if there is a relation between Turkish tweets and the Turkish stock market index. To the best of our knowledge, this is the first study performed on Turkish tweets and stock market index.
Keywords :
"Stock markets","Twitter","Data mining","Blogs","Indexes","Time domain analysis"
Publisher :
ieee
Conference_Titel :
Application of Information and Communication Technologies (AICT), 2012 6th International Conference on
Print_ISBN :
978-1-4673-1739-9
Type :
conf
DOI :
10.1109/ICAICT.2012.6398520
Filename :
6398520
Link To Document :
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