k2datascience/nlp-workshop
NLP with TextBlob Workshop
This workshop helps data scientists and analysts learn how to process and understand text data. It takes raw text, like tweets or reviews, and uses basic Natural Language Processing (NLP) techniques to extract insights such as sentiment. The output is a better understanding of the text's meaning and emotional tone, useful for anyone working with customer feedback or social media data.
No commits in the last 6 months.
Use this if you are a data scientist or analyst new to NLP and want to learn fundamental techniques using Python and TextBlob to analyze text data like social media posts.
Not ideal if you are looking for advanced machine learning models for NLP or want to analyze extremely large, enterprise-scale text datasets without programming.
Stars
8
Forks
10
Language
Jupyter Notebook
License
—
Category
Last pushed
May 04, 2017
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/nlp/k2datascience/nlp-workshop"
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