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COS_TEXT()
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Cosine similarity for text documents |
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Count_Rows()
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Number of rows of a file |
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Doc2Vec
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Conversion of text documents to word-vector-representation features ( Doc2Vec ) |
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JACCARD_DICE()
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Jaccard or Dice similarity for text documents |
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TEXT_DOC_DISSIM()
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Dissimilarity calculation of text documents |
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big_tokenize_transform
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String tokenization and transformation for big data sets |
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bytes_converter()
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bytes converter of a text file ( KB, MB or GB ) |
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cluster_frequency()
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Frequencies of an existing cluster object |
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cosine_distance()
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cosine distance of two character strings (each string consists of more than one words) |
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dense_2sparse()
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convert a dense matrix to a sparse matrix |
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dice_distance()
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dice similarity of words using n-grams |
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dims_of_word_vecs()
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dimensions of a word vectors file |
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levenshtein_distance()
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levenshtein distance of two words |
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load_sparse_binary()
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load a sparse matrix in binary format |
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matrix_sparsity()
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sparsity percentage of a sparse matrix |
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read_characters()
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read a specific number of characters from a text file |
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read_rows()
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read a specific number of rows from a text file |
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save_sparse_binary()
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save a sparse matrix in binary format |
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select_predictors()
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Exclude highly correlated predictors |
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sparse_Means()
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RowMens and colMeans for a sparse matrix |
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sparse_Sums()
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RowSums and colSums for a sparse matrix |
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sparse_term_matrix
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Term matrices and statistics ( document-term-matrix, term-document-matrix) |
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text_file_parser()
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text file parser |
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text_intersect
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intersection of words or letters in tokenized text |
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token_stats
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token statistics |
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tokenize_transform_text()
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String tokenization and transformation ( character string or path to a file ) |
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tokenize_transform_vec_docs()
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String tokenization and transformation ( vector of documents ) |
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utf_locale()
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utf-locale for the available languages |
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vocabulary_parser()
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returns the vocabulary counts for small or medium ( xml and not only ) files |