Algoliterary Encounters

Algoliterary Encounters

• Algolit
• Program

Algoliterary works

A selection of works made by the members of Algolit over the past years.

• Oulipo recipes
• i-could-have-written-that
• The Weekly Address, A model for a politician
• In the company of CluebotNG

Algoliterary explorations

This chapter presents part of the research of Algolit over the past two years.

What the Machine Writes: a closer look at the output

• CHARNN text generator
• You shall know a word by the company it keeps

How the Machine Reads: Dissecting Neural Networks

Datasets

• Many many words
• The data (e)speaks

Common public datasets

• Common Crawl
• WikiHarass

Algoliterary datasets

• Frankenstein
• Learning from Deep Learning
• nearbySaussure
• astroBlackness

From words to numbers

As machine learning is based on statistics and math, in order to process text, words need to be transformed to numbers. In the following section we present three technologies to do so.

• A Bag of Words
• A One Hot Vector
• Exploring Multidimensional Landscapes: Word Embeddings
• Word Embeddings Casestudy: Crowd embeddings

Different vizualisations of word embeddings

• Word embedding Projector
• The GloVe Reader

Inspecting the technique behind word embeddings

• word2vec_basic.py
• Reverse Algebra

How a Machine Might Speak

If a neural net work could speak, what would it say?

• We Are A Sentiment Thermometer

Sources

• Algoliterary Toolkit
• Algoliterary Bibliography