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For a similar tool in the somewhat simpler-to-understand ‘word space’, see Travis Hoppe’s ‘Transorthogonal Linquistics’: https://github.com/thoppe/transorthogo
by gojomo 9y ago
For a similar tool in the somewhat simpler-to-understand ‘word space’, see Travis Hoppe’s ‘Transorthogonal Linquistics’:
https://github.com/thoppe/transorthogonal-linguistics?files=1 https://github.com/thoppe/transorthogonal-linguistics?files=...
Shayne Miel has observed that its results for the space from ‘sociology’ to ‘mathematics’ closely match an earlier XKCD comic:
https://groups.google.com/d/msg/gensim/a8PF8CInRKk/6XWcp87WB https://groups.google.com/d/msg/gensim/a8PF8CInRKk/6XWcp87WB
- xtiansimon 9y agoWarmer. _"English dump of Wikipedia that was sentence and word tokenized by NLTK."_ Wikipedia would certainly cover the morphology of a 'space'. I'm curious how the linguistic relations are derived from 'context', which I gather is what word2vec does. Although NLTK does have an interface to WordNet.