intro-to-text-mining-with-python and intro-to-text-mining-with-python-2020

These are versioned iterations of the same workshop curriculum, where the 2020 variant represents an updated offering of the same introductory text-mining course rather than a competing or complementary tool.

Maintenance 0/25
Adoption 6/25
Maturity 16/25
Community 16/25
Maintenance 0/25
Adoption 6/25
Maturity 16/25
Community 15/25
Stars: 22
Forks: 7
Downloads:
Commits (30d): 0
Language: Jupyter Notebook
License: MIT
Stars: 16
Forks: 4
Downloads:
Commits (30d): 0
Language: Jupyter Notebook
License: MIT
Stale 6m No Package No Dependents
Stale 6m No Package No Dependents

About intro-to-text-mining-with-python

mchesterkadwell/intro-to-text-mining-with-python

Cambridge Digital Humanities 'Introduction to Text-Mining with Python' (workshops 1 and 2)

This project offers a foundational guide to text mining, perfect for researchers and students in humanities or social sciences. It takes unstructured text documents and teaches you how to process them, identify key themes, and visualize word patterns. You'll learn essential techniques to transform raw text into organized insights about your subject matter.

digital-humanities qualitative-analysis research-methods content-analysis topic-modeling

About intro-to-text-mining-with-python-2020

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.

digital humanities text analysis research methods qualitative data linguistics

Scores updated daily from GitHub, PyPI, and npm data. How scores work