The Web is a vast virtual space where people can share their opinions, impacting all aspects of life and having implications for marketing and communication. The most up-to-date and comprehensive information can be found on social media because of how widespread and straightforward it is to post a message. Proportionately, they are regarded as a valuable resource for making precise market predictions. In particular, Twitter has developed into a potent tool for understanding user sentiment. This article examines how well tweets can influence stock symbol trends. We analyze the volume, sentiment, and mentions of the top five stock symbols in the S&P 500 index on Twitter over three months. Long Short-Term Memory, Bernoulli Na\"ive Bayes, and Random Forest were the three algorithms implemented in this process. Our study revealed a significant correlation between stock prices and Twitter sentiment.
翻译:网络是一个巨大的虚拟空间,人们可以在其中分享他们的意见,影响生活的各个方面,并对营销和通信产生影响。社交媒体上可以找到最新和最全面的信息,因为发布信息非常广泛和直截了当。比例而言,他们被视为准确预测市场的宝贵资源。特别是,Twitter已经发展成为一个了解用户情绪的有力工具。这篇文章审视了推文能如何很好地影响股票符号趋势。我们分析了三个月来在Twitter上S & P 500指数中5大股符号的数量、情绪和提及。长期短期记忆、Bernoulli Na\'ive Bayes和随机森林是这一进程中执行的三种算法。我们的研究揭示了股票价格和Twitter情绪之间的重大关联。