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：互聯網是一個廣闊的虛擬空間，人們可以在這裡分享觀點，影響生活的各個層面，並對行銷與溝通產生深遠影響。由於社交媒體的普及性與發文簡便性，可從中獲取最新且全面的資訊。因此，它們被視為進行精準市場預測的寶貴資源。尤其是Twitter，已發展成為理解用戶情緒的強大工具。本文探討推文對股票代碼趨勢的影響程度。我們分析了三個月內標普500指數中前五大股票代碼在Twitter上的推文數量、情緒及提及次數。過程中執行了長短期記憶網路、伯努利樸素貝葉斯與隨機森林三種演算法。我們的研究揭示了股價與Twitter情緒之間存在顯著相關性。