DocumentCode
115299
Title
Recognition of NASDAQ stock symbols in Tweets
Author
Kanungsukkasem, Nont ; Netisopakul, Ponrudee ; Leelanupab, Teerapong
Author_Institution
Knowledge Manage. & Knowledge Eng. Lab. (KMAKE), King Mongkut´s Inst. of Technol. Ladkrabang (KMITL), Bangkok, Thailand
fYear
2014
fDate
30-31 Jan. 2014
Firstpage
12
Lastpage
16
Abstract
The massive volume of Twitter data has attracted much attention of researchers to study their correlation with stock market. Tweets with stock symbols can be identified by the prefix with dollar sign or by using some complex techniques. In this paper, we focus on discovering NASDAQ stock symbols in a stream of tweets. We propose a simple but effective methodology to recognize the stock symbols. Stock symbols from NASDAQ company list, WordNet, Wikipedia and sample tweets, as well as a classic method of collocation discovery are employed to filter stock-related tweets. Experimental evaluations show that our methodology outperforms the baseline approach for recognizing NASDAQ stock symbols.
Keywords
social networking (online); NASDAQ company list; Twitter; Wikipedia; WordNet; baseline approach; classic method; collocation discovery; dollar sign; sample tweets; stock market; stock symbols; Channel hot electron injection; Electronic publishing; Encyclopedias; Internet; Organizations; Portfolios; NASDAQ; Named Entity Recognition; Stock Symbol; Tweet; Twitter;
fLanguage
English
Publisher
ieee
Conference_Titel
Knowledge and Smart Technology (KST), 2014 6th International Conference on
Conference_Location
Chonburi
Print_ISBN
978-1-4799-1423-4
Type
conf
DOI
10.1109/KST.2014.6775386
Filename
6775386
Link To Document