Please use this identifier to cite or link to this item:
https://ah.lib.nccu.edu.tw/handle/140.119/135520| DC Field | Value | Language |
|---|---|---|
| dc.contributor | 資科系 | |
| dc.creator | 黃瀚萱 | |
| dc.creator | Huang, Hen-Hsen | |
| dc.date | 2019-08 | |
| dc.date.accessioned | 2021-06-04T06:38:28Z | - |
| dc.date.available | 2021-06-04T06:38:28Z | - |
| dc.date.issued | 2021-06-04T06:38:28Z | - |
| dc.identifier.uri | http://nccur.lib.nccu.edu.tw/handle/140.119/135520 | - |
| dc.description.abstract | 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 | Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence (IJCAI-19), IJCAI, pp.6500-6502 | |
| dc.subject | Applications: Finance ,AI: Natural Language Processing | |
| dc.title | Crowd View: Converting Investors` Opinions into Indicators | |
| dc.type | conference | |
| dc.identifier.doi | 10.24963/ijcai.2019/936 | |
| dc.doi.uri | https://doi.org/10.24963/ijcai.2019/936 | |
| item.fulltext | With Fulltext | - |
| item.openairetype | conference | - |
| item.cerifentitytype | Publications | - |
| item.grantfulltext | restricted | - |
| item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
| Appears in Collections: | 會議論文 | |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.