cosimameyer/nlp-rladies-bergen
This repository contains material on NLP (prepared for a talk for R-Ladies Bergen)
This project provides an introduction to analyzing text data using Natural Language Processing (NLP) techniques in R. It helps you understand and make sense of large volumes of written text, like policy documents or customer feedback. You'll learn how to input raw text and generate visualizations and insights into its structure, trends, and key themes. This is ideal for researchers, analysts, or anyone who needs to extract meaning from text data.
No commits in the last 6 months.
Use this if you are an R user looking for a practical introduction to text analysis, want to visualize text data, and explore both supervised and unsupervised NLP methods.
Not ideal if you prefer to work with Python, are looking for advanced, production-ready NLP models, or need to process real-time text streams.
Stars
10
Forks
1
Language
HTML
License
—
Category
Last pushed
Dec 09, 2020
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/nlp/cosimameyer/nlp-rladies-bergen"
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