stephenleo/stripnet

STriP Net: Semantic Similarity of Scientific Papers (S3P) Network

37
/ 100
Emerging

Quickly understand the main themes and connections within a collection of scientific papers. This tool takes your research paper titles and abstracts as input, then generates an interactive network graph and identifies the most influential papers. It's designed for researchers, academics, and anyone who regularly reads and needs to make sense of many scientific articles.

No commits in the last 6 months.

Use this if you need to quickly visualize the semantic relationships between research papers and identify key topics and central works within your reading list.

Not ideal if you are looking for a highly customizable, enterprise-grade research analytics platform with advanced statistical modeling features.

academic-research literature-review research-analysis scientific-communication knowledge-discovery
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 9 / 25
Maturity 16 / 25
Community 12 / 25

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Stars

86

Forks

8

Language

HTML

License

Apache-2.0

Last pushed

Jun 13, 2022

Commits (30d)

0

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