scientific-text-mining-nlp
CommunityBiomedical NLP pipelines for literature insights.
Education & Research#biomedical#knowledge-graph#topic-modeling#citation-network#ner#relation-extraction#evidence-summarization
Authornahisaho
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Automatically extract biomedical entities and relationships from scientific text to enable scalable literature analysis and knowledge discovery.
Core Features & Use Cases
- Entity recognition: biomedical NER for genes/proteins, diseases, drugs, and chemicals.
- Relation extraction & knowledge graph: build literature-based graphs capturing interactions (PPI, DDI, GDA) and pathways.
- Topic modeling & evidence summarization: identify research topics and provide concise evidence summaries.
- Citation network analysis: analyze influence and connections among cited papers.
Quick Start
Run an end-to-end biomedical NLP pipeline to extract entities, relations, and build a literature knowledge graph from a given corpus.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: scientific-text-mining-nlp Download link: https://github.com/nahisaho/satori/archive/main.zip#scientific-text-mining-nlp Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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