Reverse Algebra: Difference between revisions
From Algolit
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Algebra is generally defined as a generalisation of arithmetic in which letters representing numbers are combined according to the rules of arithmetic. In natural language processing, the opposite happens: words are represented by numbers which are generated by the circumstances of the text and of the algorithm which processes them. | Algebra is generally defined as a generalisation of arithmetic in which letters representing numbers are combined according to the rules of arithmetic. In natural language processing, the opposite happens: words are represented by numbers which are generated by the circumstances of the text and of the algorithm which processes them. | ||
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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 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 words once they have been plotted in a vector space. |
Revision as of 17:55, 30 October 2017
Type: | Algoliterary exploration |
Technique: | Word embeddings |
Developed by: | Radim Rehurek and Petr Sojka & Algolit |
Algebra is generally defined as a generalisation of arithmetic in which letters representing numbers are combined according to the rules of arithmetic. In natural language processing, the opposite happens: words are represented by numbers which are generated by the circumstances of the text and of the algorithm which processes them.
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 words once they have been plotted in a vector space.