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

1 year, 5 months ago failed

Maintainers

Home Page

https://www.researchgate.net/project/Knowledge-Extraction-and-Application-for-Smart-Manufacturing

Badge

Tags

tag, maintenance, annotation, nist, folksonomy, manufacturing, structuring, human-factors

Short URLs

nestor.readthedocs.io
nestor.rtfd.io

Default Version

latest

'latest' Version

master