Code and data for extracting co-occurrence networks from Shakespeare's plays
-
Updated
Aug 9, 2025 - Python
Code and data for extracting co-occurrence networks from Shakespeare's plays
A bash script to scrap shakespeare works from shakespeare.mit.edu + Already scraped plays in txt format
Dynamic Shakespeare Character Sentiment Analysis
Generates shakespeare style play by LSTM (RNN) network.
Text generator based on markov chains, implemented in python (just for fun)
The Free, Open-source Shakespeare Resource
An app to find Shakespeare's quotes
Scrape Shakespeare from MIT
Auto-generated text based on Shakespeare poetry
Text and cleaning code for shakespeare ai app.
My solution for TryRuby's "Noble Kinsmen" problem.
Graphs the level of emotion over time in a piece of literature to help visualise the story arc.
A website for the play "The Tempest", a English end of quarter project. Designed to display a overview, underlying meaning, and links (explained) of more information.
DNN, CNN and RNN in tensorflow.. DNN and CNN have upto 99% test accuracy.. The trained RNN(GRU) generates random Shakespeare plays...
Web interface to interact with my Shakespeare GPT-2 model to generate lines based on any chosen Shakespeare play.
This is a TF-IDF calculator for shakespearean play dataset
Shows the year(s) written, genre, and number of speeches for each of Shakespeare's plays. Built on Open Source Shakespeare's list of Shakespeare's plays by number of speeches.
Add a description, image, and links to the shakespeare-plays topic page so that developers can more easily learn about it.
To associate your repository with the shakespeare-plays topic, visit your repo's landing page and select "manage topics."