THE IMPORTANCE OF NLP ALGORITHMS IN WEBSITE ANALYSIS
Keywords:
Natural Language Processing (NLP), algorithm, SEO, analysis, evaluation, machines, user experience.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.
References
Jurafsky, D., & Martin, J. H. (2021). Speech and Language Processing: An Introduction to Natural Language Processing, Computational Linguistics, and Speech Recognition. Pearson.
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding. (2018). arXiv preprint arXiv:1810.04805.
Vaswani, A., Shazeer, N., Parmar, N., Uszkoreit, J., Jones, L., Gomez, A., Kaiser, L., & Polosukhin, I. (2017). Attention is all you need. NIPS.
Mikolov, T., Chen, K., Corrado, G., & Dean, J. (2013). Efficient Estimation of Word Representations in Vector Space.
Smith, S., & Smith, J. (2019). Understanding Sentiment Analysis: Techniques and Applications. Springer.
