Since 2020, aggregated from related topics
Information aggregation is the process of collecting, organizing, and summarizing data or knowledge from multiple sources to create a comprehensive and coherent understanding of a particular topic or issue. This research area aims to identify relevant information, filter out noise, and present the data in a concise and easily understandable format. Information aggregation techniques include data mining, natural language processing, and machine learning algorithms to extract and analyze data from various sources such as websites, social media, and research papers. The goal of information aggregation is to provide valuable insights, predictions, and recommendations based on the synthesized data.