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How was the exampleWordEmbedding example in the text analytics toolbox trained, in detail?

Asked by William Smith on 19 Nov 2017
The documentation for readWordEmbedding gives a pre-trained embedding, saying only that it was "derived by analyzing text from Wikipedia".
How was it trained?
Should we consider it a 'high quality' word embedding, better than anything a user could generate without extensive work and CPU time? Or is it a quick and dirty starting point, and we are encouraged to train our own for better performance?


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