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word2vec is a two layer neural network to process text. It takes words as an input and outputs a vector correspondingly. It uses a combination of Continuous Bag of Word and skipgram model implementation.
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vote
Assign words to various topics
Latent Dirichlet allocation (LDA) is a generative statistical model that allows sets of observations to be explained by unobserved groups that explain why some parts of the data are similar. LDA does …
1
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Convert Word to Semantic Prime
You can use wordnet/word2vec to find the most similar words of your base primes and can extrapolate those words.
Apart from these you would need a set of possible relations that the word can have. …