A paper focusing on "data tidying", the act of structuring datasets to facilitate analysis.

A helpful guide to the most common text mining digital methods and tools, including text analysis and visual presentation and analysis. This resource also includes information related to data cleaning and management, links to more example TDM projects, and TDM related platforms and software packages.

A machine learning based toolkit for the processing of natural language text.

A Python library that makes it easier to pull out data from HTML or XML files.

An open source tool that can be used to clean up data and transform one format to another.

Python is a general purpose programming language that can be used to build websites and analyze data.

R is a free software environment for statistical computing and graphics.

A free open-source library for Natural Language Processing in Python.

A content analysis and text mining software.

A free course that covers learning how to code Python for data extraction.

An introduction to data mining using the programming language Python. Includes aspects of dimensionality reduction, clustering, k-Means, DBSCAN, and more.

Tutorial focusing on data mining in R using a broad range of algorithms including machine learning methods. This resources also offers information on laws and policies that affect data mining.

An introductory lesson in programming with Python 3 for individuals who have little to no knowledge of programming.

A variety of lessons covering text and data mining, Python, data manipulation and management, and more.

A short video from the "Data Mining in R" tutorial.

A short video from the "Data Mining in Python" tutorial covering popular text and data mining tools.