You shall know a word by the company it keeps

5 landscapes

Type:	Algolit extension
Datasets:	Frankenstein, AnarchFem, WikiHarass, Learning from Deep Learning, Tristes Tropiques
Technique:	calculating semantic similarity with word-embeddings
Developed by:	Algolit, Google

• Semantic similarities
• distance in the graph
• is the product of a code study to an existing word-embedding tutorial script of word2vec.
• Based on 5 different datasets, as an exercise to read their content in semantic clusters.

5 landscapes, 5 datasets. Each of the graphs contain the words 'human', 'view' and 'power', which are highlighted in red.

graph 1: Frankenstein dataset

Includes the book Frankenstein.

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graph 2: Anarch Feminist dataset

Includes 3 books (...)

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graph 3: Claude Levi-Strauss dataset

Includes the book Tristes Tropiques.

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graph 4: Deep Learning textbooks dataset

Includes the books (...).

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graph 5: Harassing comments dataset

Includes examples of harassment on Talk page comments from Wikipedia.

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