Algebra with Words: Difference between revisions
From Algolit
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This exploration is using [https://radimrehurek.com/gensim/index.html gensim], an open source vector space and topic modelling toolkit implemented in Python, to manipulate text according to the mathematic relationships which emerge between the words, once they have been plotted in a vector space. | This exploration is using [https://radimrehurek.com/gensim/index.html gensim], an open source vector space and topic modelling toolkit implemented in Python, to manipulate text according to the mathematic relationships which emerge between the words, once they have been plotted in a vector space. | ||
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| + | [[Category:Data_Workers]][[Category:Data_Workers_EN]] | ||
Revision as of 08:58, 28 February 2019
| Type: | Algoliterary exploration |
| Technique: | Word embeddings |
| Developed by: | Radim Rehurek and Petr Sojka & Algolit |
Word embeddings are language modelling techniques that through multiple mathematical operations of counting and ordering, plot words into a multi-dimensional vector space. When embedding words, they transform from being distinct symbols into mathematical objects that can be operated on.
This exploration is using gensim, an open source vector space and topic modelling toolkit implemented in Python, to manipulate text according to the mathematic relationships which emerge between the words, once they have been plotted in a vector space.