The primary contribution of this article is a topic-based clustering strategy for cognitive documents whose core is a third order term-keyword-document tensor.

This article proposes an alternative keyword-term-document strategy, based on scientometric observations that keywords typically possess more expressive ...

Jul 18, 2017 · This strategy has been compared against a baseline using two different biomedical datasets, the TREC (Text REtrieval Conference) genomics ...

In this article, an alternative keyword-term-document strategy, based on scientometric observations that keywords typically possess more expressive power than ...

In this article, an alternative keyword-term-document strategy, based on scientometric observations that keywords typically possess more expressive power than ...

Title. Tensor-Based Semantically-Aware Topic Clustering of Biomedical Documents. Authors. Drakopoulos, Georgios; Kanavos, Andreas; Karydis, Ioannis; ...

Bibliographic details on Tensor-Based Semantically-Aware Topic Clustering of Biomedical Documents.

ARTICLE. TITLE. Tensor-Based Semantically-Aware Topic Clustering of Biomedical Documents. Georgios Drakopoulos · Andreas Kanavos · Ioannis Karydis

2020. Tensor-based semantically-aware topic clustering of biomedical documents ... Tensor-based document retrieval over Neo4j with an application to PubMed mining.

Tensor-Based Semantically-Aware Topic Clustering of Biomedical Documents · Using the MeSH ontology for biomedical document clustering is popular in scientific ...