#word_embedding
Word embedding
Method in natural language processing
In natural language processing (NLP), a word embedding is a representation of a word. The embedding is used in text analysis. Typically, the representation is a real-valued vector that encodes the meaning of the word in such a way that the words that are closer in the vector space are expected to be similar in meaning. Word embeddings can be obtained using language modeling and feature learning techniques, where words or phrases from the vocabulary are mapped to vectors of real numbers.
Wed 31st
Provided by Wikipedia
This keyword could refer to multiple things. Here are some suggestions:
0 searches
This keyword has never been searched before
This keyword has never been searched for with any other keyword.