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LinkBERT

ML Models & Algorithms
An ML model used for identifying internal link opportunities based on the semantic similarity of content, complementing entity-based approaches.

LinkBERT is a specific machine learning model that performs semantic analysis of content and is used for identifying internal link opportunities. Although it is part of ML-enabled programmatic internal linking solutions, it is noted as being an alternative approach to purely entity-based methods.

The model analyzes content similarities to map out internal linking opportunities programmatically, supplementing the approach of identifying links based solely on entity co-occurrence.

Related Concepts

KeyBERT

Sources & References

Introduction to Machine Learning for SEOs Course
academy.mlforseo.com

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