mchesterkadwell/intro-to-text-mining-with-python-2020
Cambridge Digital Humanities Learning, Methods Workshop: "Introduction to Text-Mining with Python"
This resource provides guided lessons for analyzing written content, ideal for researchers, students, or anyone needing to understand large volumes of text. You'll learn how to take raw text documents, clean them, break them into meaningful pieces, and then count and visualize word frequencies. It's designed for someone new to text analysis who wants to learn the basic steps of processing text for insights.
No commits in the last 6 months.
Use this if you are a beginner looking to understand the fundamental concepts and practical steps of text mining for research or personal interest.
Not ideal if you need a sophisticated, production-ready tool for advanced text analysis or large-scale data processing.
Stars
16
Forks
4
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Feb 11, 2023
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/nlp/mchesterkadwell/intro-to-text-mining-with-python-2020"
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