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Read word embedding from file



emb = readWordEmbedding(filename) reads the pretrained word embedding stored in text file or zip file filename. The input file must be a text file with UTF-8 encoding in either the word2vec or GloVe text embedding format, or a zip file containing a text file of this format.

If the word embedding file contains duplicate words, then the software uses the word vector corresponding to the last duplicate entry.


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Read the example word embedding. This model was derived by analyzing text from Wikipedia.

filename = "exampleWordEmbedding.vec";
emb = readWordEmbedding(filename)
emb = 
  wordEmbedding with properties:

     Dimension: 50
    Vocabulary: ["utc"    "first"    "new"    "two"    "time"    "up"    "school"    "article"    "world"    "years"    "university"    "talk"    "many"    "national"    "later"    "state"    "made"    "born"    "city"    "de"    ...    ] (1x9999 string)

Explore the word embedding using word2vec and vec2word.

king = word2vec(emb,"king");
man = word2vec(emb,"man");
woman = word2vec(emb,"woman");
word = vec2word(emb,king - man + woman)
word = 

Input Arguments

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Name of the file, specified as a string scalar, character vector, or a 1-by-1 cell array containing a character vector.

Data Types: string | char | cell

Output Arguments

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Output word embedding, returned as a wordEmbedding object.

Version History

Introduced in R2017b