Please use this identifier to cite or link to this item: https://ah.lib.nccu.edu.tw/handle/140.119/135525
DC FieldValueLanguage
dc.contributor資科系
dc.creator黃瀚萱
dc.creatorHuang, Hen-Hsen
dc.creatorChu, Jui
dc.creatorChen, Chung-Chi
dc.creatorChen, Hsin-Hsi
dc.date2020-04
dc.date.accessioned2021-06-04T06:41:30Z-
dc.date.available2021-06-04T06:41:30Z-
dc.date.issued2021-06-04T06:41:30Z-
dc.identifier.urihttp://nccur.lib.nccu.edu.tw/handle/140.119/135525-
dc.description.abstractThis 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.extent467973 bytes-
dc.format.mimetypeapplication/pdf-
dc.relationWWW `20: Companion Proceedings of the Web Conference 2020, Association for Computing Machinery, pp.17-18
dc.subjectSummarization ; headline generation ; numeracy
dc.titleLearning to Generate Correct Numeric Values in News Headlines
dc.typeconference
dc.identifier.doi10.1145/3366424.3382677
dc.doi.urihttps://doi.org/10.1145/3366424.3382677
item.fulltextWith Fulltext-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.cerifentitytypePublications-
item.grantfulltextrestricted-
item.openairetypeconference-
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