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@inproceedings{Leelanupab:2014:Recognition-of-,
	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.},
	Address = {Burapha University,, Thailand},
	Author = {Nont Kanungsukkasem and Ponrudee Netisopakul and Teerapong Leelanupab},
	Booktitle = {2014 6th International Conference on Knowledge and Smart Technology (KST2014)},
	Date-Added = {2014-01-22 11:21:49 +0000},
	Date-Modified = {2014-01-22 11:22:55 +0000},
	Keywords = {Named Entity Recognition, Twitter, Tweet, Stock Symbol, NASDAQ.},
	Month = jan,
	Title = {Recognition of {NASDAQ} Stock Symbols in Tweets},
	Year = 2014}