skipgram_freq {eHDPrep} | R Documentation |
Report Skipgram Frequency
Description
Measures the frequency of skipgrams (non-contiguous words in free text), reported in a tibble. Frequency is reported as both counts and percentages.
Usage
skipgram_freq(skipgram_tokens, min_freq = 1)
Arguments
skipgram_tokens |
Output of |
min_freq |
Minimum skipgram percentage frequency of occurrence to retain. Default = 1. |
Value
Data frame containing frequency of skipgrams in absolute count and relative to the length of input variable.
References
Guthrie, D., Allison, B., Liu, W., Guthrie, L. & Wilks, Y. A Closer Look at Skip-gram Modelling. in Proceedings of the Fifth International Conference on Language Resources and Evaluation (LREC’06) (European Language Resources Association (ELRA), 2006).
Benoit K, Watanabe K, Wang H, Nulty P, Obeng A, Müller S, Matsuo A (2018). “quanteda: An R package for the quantitative analysis of textual data.” _Journal of Open Source Software_, *3*(30), 774. doi:10.21105/joss.00774 <https://doi.org/10.21105/joss.00774>, <https://quanteda.io>.
Feinerer I, Hornik K (2020). _tm: Text Mining Package_. R package version 0.7-8, <https://CRAN.R-project.org/package=tm>.
Ingo Feinerer, Kurt Hornik, and David Meyer (2008). Text Mining Infrastructure in R. Journal of Statistical Software 25(5): 1-54. URL: https://www.jstatsoft.org/v25/i05/.
See Also
Principle underlying function: tokens_ngrams
Other free text functions:
extract_freetext()
,
skipgram_append()
,
skipgram_identify()
Examples
data(example_data)
toks_m <- skipgram_identify(x = example_data$free_text,
ids = example_data$patient_id,
max_interrupt_words = 5)
skipgram_freq(toks_m, min_freq = 0.5)