Deep Learning

GPT-3 Projects

• “GPT Cursh: Over 100 GPT-3 projects, all in one place.” by Sanket and Yash
• “Prompts AI” by Seva Zhidkov and Ilya Penyaev

Blog Posts

• “Machine Learning Algorithms: Supervised, Unsupervised, and Reinforcement Learning” by Hoyeol Kim
• “We can reduce gender bias in natural-language AI, but it will take a lot more work” by Alon Lavie and Christine Maroti

Word Embeddings

Web Tools

• “Nearest Words / Similarity of Two Words / Word Analogy” by the TurkuNLP group
• “Word2vec Tutorial” by Radim Řehůřek

Blog Posts

• “What Are Word Embeddings for Text?” by Jason Brownlee
• “Word Vectors in the Eighteenth Century” by Ryan Heuser
• “Vector Space Models for the Digital Humanities” by Ben Schmidt

Sentiment Analysis

Article

• “A Survey on Sentiment and Emotion Analysis for Computational Literary Studies” by Evgeny Kim and Roman Klinger

Blog Post

• “How to Conduct a Social Media Sentiment Analysis” by Christina Newberry

Tool

• “Sentiment Analyzer”

Topic Modeling

Articles

• “The Digital Humanities Contribution to Topic Modeling” by Elija Meeks and Scott B. Weingart
• “What Can Topic Models of PMLA Teach Us About the History of Literary Scholarship?” by Andrew Goldstone and Ted Underwood

Tutorials

• “Getting Started with Topic Modeling and MALLET” by Shawn Graham, Scott Weingart, and Ian Milligan
• “Generating and Visualizing Topic Models with Tethne and MALLET” by ASU Digital Innovation Group

Tool

• “jsLDA: In-browser topic modeling” by David Mimno

Google Colab and Python

Google Colab

• “Google Colab Tutorial”

Python

• “Python Tutorial”
• “Django Girls”