Please use this identifier to cite or link to this item: 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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