May 2018
Beginner to intermediate
384 pages
10h 19m
English
book
Artificial Intelligence for Big Data
by Anand Deshpande, Manish Kumar, Albenzo Coletta, Giancarlo Zaccone
Content preview from Artificial Intelligence for Big Data
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Skip-Gram model
The Skip-Gram model works opposite of the CBOW model. It predicts the context based on the current word. In other words, it uses a central world to predict words appearing before and after the main word. The following figure represents the Skip-Gram model:
Word2Vec: Skip-Gram Model
Based on the previous diagram, Skip-Gram can be formalized as:
The skip-gram model calculates and sums up the logarithmic probabilities of the previous and next, n, words surrounding the target word, .
The following is code to calculate Word2Vec using ...
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