去推特移动的地方!股票市场推文情绪的探索性分析

Jim Samuel, A. Kretinin, R. Kashyap
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引用次数: 17

摘要

社交媒体帖子可以对领域和主题意见产生重大的信息影响。股票价格、成交量和指标受到信息生态系统动荡的影响。对数字信息网络和社交媒体信息事件的分析表明,信息伪影对股票表现的影响与基本面有不同程度的脱节。因此,明确和理解Twitter中与信息工件相关的情绪(由于其在相关信号中的广泛使用)如何与股票表现相关联是很重要的。我们在eDominance的背景下进行了一项探索性分析,以研究tweet情绪和股票价格波动以及相关指标。我们利用文本分析对推文信息内容进行分析,识别推文行为模式、情绪变化和关键指标。
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Going Where the Tweets Get Moving! An Explorative Analysis of Tweets Sentiments in the Stock Market
Social media posts can have significant information impact on domains and subject matter opinions. Stock prices, volumes and metrics are influenced by turbulence in their information ecosystem. Analyses of digital information networks and social media information events have shown that information artifacts affect stock performance with varying degrees of disconnectedness to fundamentals. It is therefore important to gain clarity and understanding of how the sentiments associated with information artifacts in Twitter (due to its extensive usage in relevant signaling), are associated with stock performance. We perform an exploratory analysis to study tweet sentiment and stock price fluctuations, and associated metrics, in the context of eDominance. Our analysis of tweet information content deploying textual analytics, identifies patterns in tweet behaviors, changes in sentiment and key metrics.
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