https://scholars.lib.ntu.edu.tw/handle/123456789/413072
標題: | CrowDPT: Summarizing crowd opinions as professional analyst | 作者: | Chen C.-C. Tsai C.-W. Huang H.-H. HSIN-HSI CHEN |
關鍵字: | Crowd opinion;Financial social media;Price target | 公開日期: | 2019 | 起(迄)頁: | 3498-3502 | 來源出版物: | World Wide Web Conference | 摘要: | This paper demonstrates a novel analytics service, CrowdPT, for capturing the key information, price target (PT), of individual investors on social media. PT, which is mentioned as a conclusion in most of analysts' reports, indicates not only the market sentiment (bullish/bearish) of investors, but also the analysis results. In order to provide the latest opinions of individual investors, we monitor Twitter in real time and update the information in price chart daily. For all component stocks in Dow Jones Industrial Average, textual information from numerous tweets is summarized into a single number, PT, in CrowdPT. Case studies confirm the effectiveness of our analytics service in the financial domain, and show that capturing the PT of individual investors is promising for stock price prediction. The Web API of CrowdPT is also provided for academic purpose. ? 2019 IW3C2 (International World Wide Web Conference Committee), published under Creative Commons CC-BY 4.0 License. |
URI: | https://scholars.lib.ntu.edu.tw/handle/123456789/413072 | ISBN: | 9781450366748 | DOI: | 10.1145/3308558.3314122 |
顯示於: | 資訊工程學系 |
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