Train a word embedding and write it to a text file.

Load the example data. The filesonnetsPreprocessed.txtcontains preprocessed versions of Shakespeare's sonnets. The file contains one sonnet per line, with words separated by a space. Extract the text fromsonnetsPreprocessed.txt, split the text into documents at newline characters, and then tokenize the documents.

filename ="sonnetsPreprocessed.txt"; str = extractFileText(filename); textData = split(str,newline); documents = tokenizedDocument(textData);

Train a word embedding usingtrainWordEmbedding.

emb = trainWordEmbedding(documents)

Training: 100% Loss: 2.70886 Remaining time: 0 hours 0 minutes.

emb = wordEmbedding with properties: Dimension: 100 Vocabulary: ["thy" "thou" "love" "thee" "doth" ... ]

Write the word embedding to a text file.

filename ="exampleSonnetsEmbedding.vec"; writeWordEmbedding(emb,filename)

Read the word embedding file usingreadWordEmbedding.

emb = readWordEmbedding(filename)

emb = wordEmbedding with properties: Dimension: 100 Vocabulary: ["thy" "thou" "love" "thee" "doth" ... ]