User:Joca/word-embeddings: Difference between revisions
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I participated in the Algolit session of March 17th and learnt about word embeddings. This is a way of unsupervised machine learning where an algoritm turns text into numbers and places them in a multi dimensional space. The relative distance between specific words is the result of how often they are placed close to each other in the original text. | I participated in the Algolit session of March 17th and learnt about word embeddings. This is a way of unsupervised machine learning where an algoritm turns text into numbers and places them in a multi dimensional space. The relative distance between specific words is the result of how often they are placed close to each other in the original text. | ||
[https://gitlab.constantvzw.org/algolit/algolit/tree/master/algologs Scripts used during the session] | *[https://gitlab.constantvzw.org/algolit/algolit/tree/master/algologs Scripts used during the session] | ||
[https://pad.constantvzw.org/p/180317_algolit_word2vec Pad of the day] | *[https://pad.constantvzw.org/p/180317_algolit_word2vec Pad of the day] | ||
Revision as of 10:18, 28 March 2018
Algolit @ Varia
I participated in the Algolit session of March 17th and learnt about word embeddings. This is a way of unsupervised machine learning where an algoritm turns text into numbers and places them in a multi dimensional space. The relative distance between specific words is the result of how often they are placed close to each other in the original text.