THE IMPORTANCE OF NLP ALGORITHMS IN WEBSITE ANALYSIS
Abstract
Natural Language Processing (NLP) algorithms have emerged as a powerful tool in analyzing websites, unlocking insights from textual content to optimize user experience, content relevance, and site performance. This article explores how NLP algorithms are applied to website analysis, covering methods for extracting and processing textual data, as well as the formulation of problems, algorithmic approaches, and simulation modeling. We present a comprehensive review of research on this topic, highlighting advancements and future directions in leveraging NLP for web content analysis.
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References
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