fredriko/nlp-data-readiness
This is a document concerning Data Readiness in the context of machine learning and Natural Language Processing.
This guide helps organizations understand how to prepare their text data for automated analysis, such as machine learning or natural language processing. It outlines steps to identify, access, validate, and ready your data. This is for business leaders, project managers, or data strategists looking to leverage text analytics.
No commits in the last 6 months.
Use this if your organization has text data and wants to implement machine learning or natural language processing but isn't sure how to prepare the data for these advanced analytical methods.
Not ideal if you are looking for specific code or tools to perform the data preparation, as this document focuses on strategic guidance rather than technical implementation.
Stars
13
Forks
5
Language
—
License
—
Category
Last pushed
Oct 14, 2021
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/nlp/fredriko/nlp-data-readiness"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
natasha/ipymarkup
NER, syntax markup visualizations
neomatrix369/nlp_profiler
A simple NLP library allows profiling datasets with one or more text columns. When given a...
thepushkarp/nalcos
Search Git commits in natural language
lyeoni/nlp-tutorial
A list of NLP(Natural Language Processing) tutorials
NirantK/NLP_Quickbook
NLP in Python with Deep Learning