Algoliterary Encounters

Start of the Algoliterary Encounters catalog.

Introduction

• Algolit
• Program

Algoliterary works

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

Algoliterary explorations

What the Machine Writes: a closer look at the output

• 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'.

How the Machine Reads: Dissecting Neural Networks

Datasets

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

• The Enron email archive
• Common Crawl
• 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

• Crowd Embeddings - case studies, still needs fine tuning
• word2vec_basic.py - in piles of paper
• softmax annotated
• Reverse Algebra

How a Machine Might Speak

• We Are A Sentiment Thermometer

Sources

Algoliterary Toolkit

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

Bibliography

• Algoliterary Bibliography - Reading Room texts