Tokenisation

Introduction au traitement automatique des langues en R

Kasey Jones

Research Data Scientist

Qu'est-ce qu'un jeton ?

Types courants de tokenisation :

  • caractères
  • mots
  • phrases
  • documents
  • séparations par expressions régulières
Introduction au traitement automatique des langues en R

Le paquet tidytext

Aperçu du paquet :

  • « Text Mining using dplyr, ggplot2, and Other Tidy Tools »
  • Suit le format des données « tidy »

Introduction au Tidyverse

1 https://cran.r-project.org/web/packages/tidytext/index.html
Introduction au traitement automatique des langues en R

L'ensemble de données Animal Farm

animal_farm
# A tibble: 10 x 2
   chapter    text_column                                                                                                      
   <chr>      <chr>                                                                                                            
 1 Chapter 1  "Mr. Jones, of the Manor Farm, had locked ...
 2 Chapter 2  "Three nights later old Major died peacefully ...
 3 Chapter 3  "How they toiled and sweated to get the hay ...
...

1 https://en.wikipedia.org/wiki/Animal_Farm
Introduction au traitement automatique des langues en R

Pratique de la tokenisation

animal_farm %>%
  unnest_tokens(output = "word",
                input = text_column,
                token = "words")

Options de jetons

  • sentences
  • lines
  • regex
  • words
  • ...
Introduction au traitement automatique des langues en R

Compter les jetons

animal_farm %>%
  unnest_tokens(output = "word",
                token = "words",
                input = text_column) %>%
  count(word, sort = TRUE)
# A tibble: 4,076 x 2
   word      n
   <chr> <int>
 1 the    2187
 2 and     966
 3 of      899
 4 to      814
 ...
Introduction au traitement automatique des langues en R

Tokenisation avec expressions régulières

animal_farm %>%
  filter(chapter == 'Chapter 1') %>%
  unnest_tokens(output = "Boxer", input = text_column,
                token = "regex", pattern = "(?i)boxer") %>%
  slice(2:n())
# A tibble: 5 x 2
  chapter   Boxer                                                                                                                                 
  <chr>     <chr>                                                                                                                                 
2 Chapter 1 " and clover, came in together, walking very slowly and setting down their vast hairy hoofs with great care lest there should be some…
3 Chapter 1 " was an enormous beast, nearly eighteen hands high, and as strong as any two ordinary horses put together. a white stripe down his n…
4 Chapter 1 "; the two of them usually spent their sundays together in the small paddock beyond the orchard, grazing side by side and never speak…
...
Introduction au traitement automatique des langues en R

Tokenisons du texte.

Introduction au traitement automatique des langues en R

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