Versions
Description
Nestor ==== Maintenance Language Processing: Quantifying tacit human knowledge with python, for maintnenance-based investigatory analysis Purpose ======= There is often a large amount of maintenance data *already* available for use in Smart Manufacturing systems, but in a currently-unusable form: service tickets and maintenance work orders (MWOs). MLPy is a toolkit for using Natural Language Processing (NLP) with efficient user-interaction to perform structured data extraction with minimal annotation time-cost.
Repository
https://github.com/usnistgov/nestor.git
Project Slug
nestor
Last Built
3 years, 8 months ago failed
Maintainers
Home Page
https://www.researchgate.net/project/Knowledge-Extraction-and-Application-for-Smart-Manufacturing
Badge
Tags
annotation, folksonomy, human-factors, maintenance, manufacturing, nist, structuring, tag
Short URLs
nestor.readthedocs.io
nestor.rtfd.io
Default Version
latest
'latest' Version
master