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https://ah.lib.nccu.edu.tw/handle/140.119/135525
題名: | Learning to Generate Correct Numeric Values in News Headlines | 作者: | 黃瀚萱 Huang, Hen-Hsen Chu, Jui Chen, Chung-Chi Chen, Hsin-Hsi |
貢獻者: | 資科系 | 關鍵詞: | Summarization ; headline generation ; numeracy | 日期: | Apr-2020 | 上傳時間: | 4-Jun-2021 | 摘要: | This paper demonstrates an opinion indicator (OI) generation system, named Crowd View, with which traders can refer to the fine-grained opinions, beyond the market sentiment (bullish/bearish), from crowd investors when trading financial instruments. We collect the real-time textual information from Twitter, and convert it into five kinds of OIs, including the support price level, resistance price level, price target, buy-side cost, and sell-side cost. The OIs for all component stocks in Dow Jones Industrial Average Index (DJI) are provided, and shown with the real-time stock price for comparison and analysis. The information embedding in the OIs and the application scenarios are introduced. | 關聯: | WWW `20: Companion Proceedings of the Web Conference 2020, Association for Computing Machinery, pp.17-18 | 資料類型: | conference | DOI: | https://doi.org/10.1145/3366424.3382677 |
Appears in Collections: | 會議論文 |
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