ds-modules/MEDST-250

Name: MEDST-250

Owner: Berkeley Data Science Modules

Description: Text Analysis for Graduate Medievalists

Created: 2017-10-24 16:34:31.0

Updated: 2018-03-27 23:31:28.0

Pushed: 2018-03-27 23:31:28.0

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Size: 7324

Language: Jupyter Notebook

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README

MEDST-250

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This module was created by Mingyue Tang, Sierra Blatan, Shubham Gupta, Tejas Priyadarshan, and Sasank Chaganty.

This module will provide an introduction into parsing and performing text analysis on medieval manuscripts using Python.

Send questions to: schaganty@berkeley.edu


This work is supported by the National Institutes of Health's National Center for Advancing Translational Sciences, Grant Number U24TR002306. This work is solely the responsibility of the creators and does not necessarily represent the official views of the National Institutes of Health.