Vaibhavabhaysharma/Applied-Text-Mining-in-Python
This repository contains solutions of the course- "Applied_Text_Mining_in_Python provided by University of Michigan on platform Coursera.
This project provides practical solutions for text mining tasks. It takes raw text data and demonstrates how to extract meaningful information, categorize content, or identify key themes. It's designed for anyone learning or practicing applied text analysis, such as data analysts or researchers working with textual information.
No commits in the last 6 months.
Use this if you are studying or working on text mining projects and need examples of how to apply common techniques to real-world text data.
Not ideal if you are looking for a ready-to-use application or a deep dive into the theoretical underpinnings of text mining algorithms.
Stars
9
Forks
6
Language
Jupyter Notebook
License
—
Category
Last pushed
Aug 01, 2020
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/nlp/Vaibhavabhaysharma/Applied-Text-Mining-in-Python"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
dipanjanS/text-analytics-with-python
Learn how to process, classify, cluster, summarize, understand syntax, semantics and sentiment...
jonathandunn/text_analytics
Basic text analytics and natural language processing in Python
IBM/watson-document-co-relation
Correlate text content across documents using Watson NLU, Python NLTK and Watson Studio.
Clarifai/clarifai-pyspark
Interfaces for Unstructured data and ML pipelines with Databricks and Clarifai
umer7/Applied-Text-Mining-in-Python
Repo for Applied Text Mining in Python (coursera) by University of Michigan