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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:	2020-04
上傳時間:	2021-06-04 14:41:30 (UTC+8)
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 連結:	https://doi.org/10.1145/3366424.3382677
DOI:	10.1145/3366424.3382677
顯示於類別:	[資訊科學系] 會議論文

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