dc.contributor | 資科系 | |
dc.creator (作者) | 黃瀚萱 | |
dc.creator (作者) | Huang, Hen-Hsen | |
dc.date (日期) | 2019-08 | |
dc.date.accessioned | 4-Jun-2021 14:38:28 (UTC+8) | - |
dc.date.available | 4-Jun-2021 14:38:28 (UTC+8) | - |
dc.date.issued (上傳時間) | 4-Jun-2021 14:38:28 (UTC+8) | - |
dc.identifier.uri (URI) | http://nccur.lib.nccu.edu.tw/handle/140.119/135520 | - |
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 | 254414 bytes | - |
dc.format.mimetype | application/pdf | - |
dc.relation (關聯) | Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence (IJCAI-19), IJCAI, pp.6500-6502 | |
dc.subject (關鍵詞) | Applications: Finance ,AI: Natural Language Processing | |
dc.title (題名) | Crowd View: Converting Investors` Opinions into Indicators | |
dc.type (資料類型) | conference | |
dc.identifier.doi (DOI) | 10.24963/ijcai.2019/936 | |
dc.doi.uri (DOI) | https://doi.org/10.24963/ijcai.2019/936 | |