Text-Based Stock Prediction

Text-Based Stock Prediction is an important application in the field of natural language processing, aiming to predict the trends of the stock market by analyzing textual data such as news articles and social media posts. This task leverages advanced text mining and machine learning techniques to extract key information like market sentiment and event impacts, providing a scientific basis for corporate decision-making and individual investors, thereby enhancing the effectiveness and foresight of investment strategies.