TopicTracker – An advanced software pipeline for text mining on PubMed data: Bridging the gap between off-the-shelf tools and code based approaches

TopicTracker represents a significant advancement in academic research tools for text mining. While it has its limitations, primarily tied to its alignment with PubMed, its benefits far outweigh the constraints. As the landscape of research continues to expand, tools like TopicTracker may be instrumental in guiding scholars in their pursuit of knowledge, ensuring they navigate the large amount of literature with clarity and precision.

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Institutions

Publication Details

Journal
Heliyon
Published
2024-08-15
DOI
https://doi.org/10.1016/j.heliyon.2024.e36351
Citations
3
Primary Topic
Biomedical Text Mining and Ontologies
Type
article
Field-Weighted Citation Impact
0.70
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article

TopicTracker – An advanced software pipeline for text mining on PubMed data: Bridging the gap between off-the-shelf tools and code based approaches

Giovanni Spitale, Federico Germani, Nikola Biller‐Andorno
3 citations
Heliyon
Biomedical Text Mining and Ontologies
0.70
article

TopicTracker – An advanced software pipeline for text mining on PubMed data: Bridging the gap between off-the-shelf tools and code based approaches

Giovanni Spitale, Federico Germani, Nikola Biller‐Andorno
article en
3 citations

Abstract

TopicTracker represents a significant advancement in academic research tools for text mining. While it has its limitations, primarily tied to its alignment with PubMed, its benefits far outweigh the constraints. As the landscape of research continues to expand, tools like TopicTracker may be instrumental in guiding scholars in their pursuit of knowledge, ensuring they navigate the large amount of literature with clarity and precision.

HeliyonVol. 10(17)
University of Zurich (CH), Institute for Biomedical Engineering (CH)
Openalex Percentile: Top 30%
Biomedical Text Mining and Ontologies
0.70
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