# Text Processing for Small or Big Data Files

## Documentation for package ‘textTinyR’ version 1.1.7

- DESCRIPTION file.
- User guides, package vignettes and other documentation.

## Help Pages

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