Description: A web mining framework is a structured approach to conducting web mining, which involves extracting useful information and data patterns from various sources on the web. This framework provides a set of tools, techniques, and methodologies that allow researchers and analysts to organize and process large volumes of unstructured data found on the web. Through this approach, trends, behaviors, and relationships can be identified that might otherwise go unnoticed. The main features of a web mining framework include the ability to handle heterogeneous data, the integration of machine learning techniques, and the implementation of natural language processing algorithms. The relevance of this framework lies in its application in various fields, such as market analysis, academic research, and enhancing user experience on digital platforms. By structuring the web mining process, informed decision-making is facilitated, and resource utilization is optimized in the search for valuable information in the vast ocean of data that the web represents.
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