Algoliterary Encounters

Start of the Algoliterary Encounters catalog.

General Introduction

• Introduction Algolit

Algoliterary works

• Oulipo scripts
• i-could-have-written-that
• Obama, model for a politician
• In the company of CluebotNG

Algoliterary explorations

A few outputs to see how it works

• CHARNN text generator
• You shall know a word by the company it keeps - Five word2vec graphs, each of them containing the words 'collective', 'being' and 'social'.

Parts of NN process

Datasets

• Many many words - introduction to the datasets with calculation exercise
• The data (e)speaks - espeak installation

• The Enron email archive
• Common Crawl (used by GloVe): selection of urls (Constant, Maison du Livre...)
• Google News (used by word2vec)
• Frankenstein
• Learning from Deep Learning
• HG Wells personal dataset
• Jules Verne (FR), Shakespeare (FR) -> download from Gutenberg & clean up
• AnarchFem
• WikiHarass
• Tristes Tropiques

From words to numbers

• bag-of-words
• one-hot-vector script & word embeddings

Different views on the data

• Word embedding Projector
• 5 dimensions 32 graphs
• The GloVe Reader

Creating word embeddings using word2vec

• word2vec applications - this can serve as an introduction to word2vec?
• word2vec_basic.py - in piles of paper
• softmax annotated
• chatbot for word mathematics

Autonomous machine as inspection

• We Are A Sentiment Thermometer

Algoliterary Toolkit

• Algoliterary Toolkit introduction
• jinja-cgi interface template
• text-punctuation-clean-up.py

Bibliography

• Algoliterary Bibliography - Reading Room texts