Stock Price Analysis Using Sentiment Analysis of Twitter Data

The intricate interplay between stock prices and the myriad of influencing factors delineates a fertile domain for exploration. Factors like economic conditions, corporate performance, and market sentiment emerge as pivotal determinants of stock valuation within this complex ecosystem. Leveraging sentiment analysis methodologies, our study delves into vast textual datasets, with a particular emphasis on deciphering public opinions voiced through social media channels like Twitter. Through meticulous scrutiny of these sentiments, our objective is to unveil their profound impact on stock price fluctuations across diverse companies. Engaging in a comparative analysis between sentiment trends and real-time stock price movements, our research aims to bolster the predictive efficacy of sentiment-driven stock price models. By honing our comprehension of how public sentiment resonates within market dynamics, we aspire to foster the evolution of more resilient and precise frameworks for stock price prognostication. This inquiry not only propels the domain of sentiment-driven stock price prediction forward but also carries significant ramifications for stakeholders navigating the intricate terrain of financial markets with heightened acumen and precision.