Recognition of NASDAQ stock symbols in Tweets

Nont Kanungsukkasem, P. Netisopakul, Teerapong Leelanupab
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引用次数: 3

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.
推文中纳斯达克股票代码的识别
大量的Twitter数据引起了研究者们对其与股票市场相关性的研究。带有股票符号的tweet可以通过带有美元符号的前缀或使用一些复杂的技术来识别。在本文中,我们专注于在tweet流中发现纳斯达克股票代码。本文提出了一种简单而有效的股票代码识别方法。利用纳斯达克公司列表、WordNet、维基百科和样本推文中的股票符号,以及经典的搭配发现方法对股票相关推文进行过滤。实验评估表明,我们的方法优于识别纳斯达克股票符号的基线方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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