| dc.contributor | 資科系 | |
| dc.creator (作者) | 黃瀚萱 | |
| dc.creator (作者) | Huang, Hen-Hsen | |
| dc.creator (作者) | Chu, Jui | |
| dc.creator (作者) | Chen, Chung-Chi | |
| dc.creator (作者) | Chen, Hsin-Hsi | |
| dc.date (日期) | 2020-04 | |
| dc.date.accessioned | 4-Jun-2021 14:41:30 (UTC+8) | - |
| dc.date.available | 4-Jun-2021 14:41:30 (UTC+8) | - |
| dc.date.issued (上傳時間) | 4-Jun-2021 14:41:30 (UTC+8) | - |
| dc.identifier.uri (URI) | http://nccur.lib.nccu.edu.tw/handle/140.119/135525 | - |
| dc.description.abstract (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. | |
| dc.format.extent | 467973 bytes | - |
| dc.format.mimetype | application/pdf | - |
| dc.relation (關聯) | WWW `20: Companion Proceedings of the Web Conference 2020, Association for Computing Machinery, pp.17-18 | |
| dc.subject (關鍵詞) | Summarization ; headline generation ; numeracy | |
| dc.title (題名) | Learning to Generate Correct Numeric Values in News Headlines | |
| dc.type (資料類型) | conference | |
| dc.identifier.doi (DOI) | 10.1145/3366424.3382677 | |
| dc.doi.uri (DOI) | https://doi.org/10.1145/3366424.3382677 | |
