面向股市预测的情绪挖掘研究综述

Hind Bourezk, Amine Raji, Nawfal Acha, Hafid Barka
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引用次数: 0

摘要

越来越多的研究和实际应用将社交媒体数据作为投资者在金融市场中复杂行为的代表。本文概述了与社交媒体与金融市场之间联系相关的学术研究,以便深入了解投资者情绪分析的未来工作和挑战。这种关系的理论基础主要是由行为金融学定义的。行为金融学表明,情绪对个人行为有相当大的影响。该学科的研究人员与有效市场的标准模型相矛盾,认为投资者情绪和公众情绪等非理性因素对资产定价和金融市场波动有影响。在这种情况下,社交媒体是一种新颖的工具,可以收集有关这些行为因素的数据。
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An Overview on Sentiment Mining for Stock Market prediction
A growing body of research and practical applications employ social media data as a proxy for the complex behavior of investors in financial markets. This paper provides an overview of academic research related to the link between social media and financial markets in order to give insight into future works and challenges on investor sentiment analysis. The theoretical rationale of this relationship is predominantly defined by behavioral finance. Behavioral finance shows that emotions have a considerable impact on individual behavior. Researchers of this discipline contradict the standard model of efficient markets and considers irrational factors like investors sentiment and public mood as influential for asset pricing and financial market volatility. In this context, social media is a novel tool enabling the collection of data about such behavioral factors.
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