similar_texts: Returns 'similar' texts to user given strings
In jcgonzalez14/textwhiz: Support tools for Text Analytics

Description Usage Arguments Value Examples

View source: R/similar_texts.R

Use to return semantically similar texts from one or severeal user-defined texts.

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similar_texts(texts, texts_id, strings, num_texts, Term_count_min,
  Skip_gram_window, Word_vectors_size, X_max, N_iter,
  xprt_txt_vctrs = TRUE)

`texts`	The texts given by the user to classify later.
`strings`	A vector of strings to be feed into the model.
`num_texts`	The number of texts to be returned for each user-given string.
`Term_count_min`	GloVe parameter.
`Skip_gram_window`	GloVe parameter.
`Word_vectors_size`	GloVe parameter.
`X_max`	GloVe parameter.
`N_iter`	GloVe parameter.
`xprt_txt_vctrs`	Defaults to TRUE. Returns a list with the text vectors computed by the GloVe model to be reused again to feed for more strings.
`texts_ids`	The text_ids in the text to output nice clean format.

A list with dataframes of similiar texts for each string. If text_vectors == TRUE, an additional list is added to the end of list containing the text vectors of the model to used by similar_texts_lite() function.

similar_texts(texts = df$text,
              texts_id = df$text_id,
              strings = mystrgs,
              num_texts = 5,
              Term_count_min = 5,
              Skip_gram_window = 10,
              Word_vectors_size = 100,
              X_max = 10,
              N_iter = 8,
              xprt_txt_vctrs = TRUE
              )