NCBI-Hackathons/Semantic-search-log-analysis-pipeline
Classify web visitor queries so you can chart, and respond to, trends in information seeking
This project helps product managers and content strategists understand what visitors are truly searching for on large biomedical websites. It takes raw, messy search log entries and automatically groups similar queries under standardized topics, using medical ontologies like UMLS. The output provides clear, actionable insights into visitor information needs and emerging trends, enabling better website content and navigation.
No commits in the last 6 months.
Use this if you manage a large biomedical website and need to automatically classify and analyze visitor search queries to identify content gaps and trending topics.
Not ideal if your website isn't focused on biomedical or health-related content, or if you don't have access to your site's raw search logs.
Stars
14
Forks
3
Language
JavaScript
License
MIT
Category
Last pushed
Sep 07, 2023
Commits (30d)
0
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