'fastText' Wrapper for Text Classification and Word Representation


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Documentation for package ‘fastrtext’ version 0.3.4

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fastrtext-package fastrtext: 'fastText' Wrapper for Text Classification and Word Representation
add_prefix Add a prefix to each word
add_tags Add tags to documents
build_supervised Build a supervised fasttext model
build_vectors Build fasttext vectors
execute Execute command on 'fastText' model (including training)
fastrtext fastrtext: 'fastText' Wrapper for Text Classification and Word Representation
get_dictionary Get list of known words
get_hamming_loss Hamming loss
get_labels Get list of labels (supervised model)
get_nn Get nearest neighbour vectors
get_parameters Export hyper parameters
get_sentence_representation Get sentence embedding
get_tokenized_text Tokenize text
get_word_distance Distance between two words
get_word_ids Retrieve word IDs
get_word_vectors Get word embeddings
load_model Load an existing fastText trained model
predict.Rcpp_fastrtext Get predictions (for supervised model)
print_help Print help
Rcpp_fastrtext-class Rcpp_fastrtext class
stop_words_sentences Stop words list
test_sentences Sentence corpus - test part
train_sentences Sentence corpus - train part