Visual Twitter analytics (Vista) for investment analysis

用于投资分析的可视化 Twitter 分析 (Vista)

• 批准号: 469788-2014
• 负责人: Hoeber, Orland
• 金额: $ 0.91万
• 依托单位: University of Regina
• 依托单位国家: 加拿大
• 项目类别: Engage Plus Grants Program
• 财政年份: 2014
• 资助国家: 加拿大
• 起止时间: 2014-01-01 至 2015-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=563734
• 关键词: Visual; Twitter; analytics; Vista; investment

Twitter and other public social micro-blogging services have become valuable sources of information regarding the public opinion of various products, services, and events. Some researchers have explored methods for extracting positive/neutral/negative sentiment from such information and correlating this against market performance, lending credence to the idea that public opinion expressed via Twitter can be used as a surrogate for consumer or investor research. While such work illustrates the potential for mining sentiment from Twitter and using this as an indicator for market performance, the approaches have yet to be shown to be useful for investment analysts.

Twitter和其他公共社交微博服务已经成为关于各种产品、服务和事件的公众意见的有价值的信息来源。一些研究人员探索了从这些信息中提取积极/中性/消极情绪的方法，并将其与市场表现相关联，从而使人们相信通过Twitter表达的公众意见可以作为消费者或投资者研究的替代品。虽然这些工作说明了从Twitter挖掘情绪并将其用作市场表现指标的潜力，但这些方法尚未被证明对投资分析师有用。