Open Journal Matcher: open journal discovery for everyone
summary
A web app that matches a draft abstract to open access journals is live and working: it compares a user abstract against about 5600 DOAJ journals (limited to ~100 recent abstracts per title), scores similarity using spacy word vectors, and performs thousands of parallel comparisons via Google Cloud Functions with a Flask front end. Results return the top five recommendations; accuracy is reasonable, multilingual coverage is limited, and ethical and metadata-quality caveats apply.
AI-written summary Β· about
chapters (10)
- 0:00Introduction
- 1:08Overview
- 3:05Other journal recommenders
- 4:14Directory of Open Access Journals
- 5:00ISNs
- 6:39Flask
- 9:18Under the hood
- 9:50Spacey
- 10:41Word vectors
- 16:12Ethical incompleteness
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