Manual indexing is slow and expensive as finding the relevant indexing terms is a time-consuming task and in the case of full-text of articles, it could be overwhelming. On the other hand, automated document indexing is faster, more reliable, and cost-effective compared to manual indexing.
Straive offers an automated deep indexing solution that leverages cutting-edge analytics and data science methodologies to classify even unstructured documents using the extreme multilabel classification (XMLC) method.
Deep indexing by extreme multilabel classification is a highly efficient methodology for indexing:
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Learn how Straive used the extreme multilabel classification (XMLC) model for extracting the top 25 terms as per matching score with thesaurus from an extensive biomedical database.