neomatrix369/nlp_profiler
A simple NLP library allows profiling datasets with one or more text columns. When given a dataset and a column name containing text data, NLP Profiler will return either high-level insights or low-level/granular statistical information about the text in that column.
This tool helps data professionals understand the characteristics of text data within their datasets. You provide a dataset with text columns, and it outputs a new dataset enriched with various text-specific metrics and insights. This is ideal for data scientists, NLP engineers, or researchers who need to quickly explore and summarize text content.
243 stars. No commits in the last 6 months. Available on PyPI.
Use this if you need to quickly get a high-level overview or granular statistics on the textual content in your datasets, similar to how you'd use `pandas.describe()` for numerical data.
Not ideal if you're looking for a full-fledged text analytics platform with interactive visualizations or complex model building capabilities.
Stars
243
Forks
37
Language
Python
License
—
Category
Last pushed
May 12, 2024
Commits (30d)
0
Dependencies
13
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/nlp/neomatrix369/nlp_profiler"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Related tools
natasha/ipymarkup
NER, syntax markup visualizations
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
ivan-bilan/The-NLP-Pandect
A comprehensive reference for all topics related to Natural Language Processing