Textual big data refers to a vast amount of unstructured text-based information that is generated and collected from various sources, such as social media, emails, online articles, and documents. This type of data is characterized by its sheer volume, velocity, and variety, making it challenging to manage and analyze using traditional methods. Textual big data is a valuable resource for businesses and researchers, as it can provide insights into consumer behavior, market trends, and sentiment analysis. However, its complexity and size require advanced tools and techniques, such as natural language processing and machine learning, to extract meaningful and actionable insights.