This function uses quanteda::kwic() to return a concordance for a search pattern. The function takes as input three datasets and a pattern and returns a data frame with the hits labelled for authorship.
Usage
concordance(
q.data,
k.data,
reference.data,
search,
token.type = "word",
window = 5,
case_insensitive = TRUE
)Arguments
- q.data
A
quantedacorpus object, such as the output ofcreate_corpus(), or a tokens object with tokens being sentences, such as the output oftokenize_sents().- k.data
A
quantedacorpus object, such as the output ofcreate_corpus(), or a tokens object with tokens being sentences, such as the output oftokenize_sents().- reference.data
A
quantedacorpus object, such as the output ofcreate_corpus(), or a tokens object with tokens being sentences, such as the output oftokenize_sents(). This is optional.- search
A string. It can be any sequence of characters and it also accepts the use of * as a wildcard. The special tokens for sentence boundaries are 'BOS' for beginning of sentence and 'EOS' for end of sentence.
- token.type
Choice between "word" (default), which searches for word or punctuation mark tokens, or "character", which instead uses a single character search.
- window
The number of context items to be displayed around the keyword (a
quanteda::kwic()parameter).- case_insensitive
Logical; if TRUE, ignore case (a
quanteda::kwic()parameter).
Examples
concordance(enron.sample[1], enron.sample[2], enron.sample[3], "wants to", token.type = "word")
#> docname from to pre node post authorship
#> 1 known [Kh Mail_1].txt 5 6 N N N N wants to be N when he V Q
#using wildcards
concordance(enron.sample[1], enron.sample[2], enron.sample[3], "wants * be", token.type = "word")
#> docname from to pre node post authorship
#> 1 known [Kh Mail_1].txt 5 7 N N N N wants to be N when he V up Q
#searching character sequences with wildcards
concordance(enron.sample[1], enron.sample[2], enron.sample[3], "help*", token.type = "character")
#> docname from to pre node post authorship
#> 1 known [Kh Mail_1].txt 703 707 need help V it Q
#> 2 known [Kh Mail_1].txt 2014 2018 want help V it Q
#> 3 known [Kh Mail_3].txt 1797 1801 N , helpe d the K
#> 4 known [Kh Mail_4].txt 52 56 P P helpe d the Reference
#using sentences
enron.sents <- tokens(enron.sample, "sentence")
concordance(enron.sents[1], enron.sents[2], enron.sents[3], ". _EOS_", token.type = "word")
#> docname from to pre node
#> 1 known [Kh Mail_1].txt 114 115 N , but V D . _EOS_
#> 2 known [Kh Mail_1].txt 160 161 D N in first N . _EOS_
#> 3 known [Kh Mail_1].txt 189 190 N about a N N . _EOS_
#> 4 known [Kh Mail_1].txt 369 370 and we V to V . _EOS_
#> 5 known [Kh Mail_1].txt 409 410 ' re V with her . _EOS_
#> 6 known [Kh Mail_1].txt 545 546 the N of the N . _EOS_
#> 7 known [Kh Mail_1].txt 698 699 V in you getting neither . _EOS_
#> 8 known [Kh Mail_1].txt 713 714 just the N it works . _EOS_
#> 9 known [Kh Mail_1].txt 735 736 N is a J N . _EOS_
#> 10 known [Kh Mail_1].txt 873 874 have to say during N . _EOS_
#> 11 known [Kh Mail_3].txt 173 174 J as a J N . _EOS_
#> 12 known [Kh Mail_3].txt 235 236 get V into the call . _EOS_
#> 13 known [Kh Mail_3].txt 285 286 , please let me know . _EOS_
#> 14 known [Kh Mail_3].txt 341 342 you who V of N . _EOS_
#> 15 known [Kh Mail_3].txt 366 367 B for a N N . _EOS_
#> 16 known [Kh Mail_3].txt 410 411 P went well last week . _EOS_
#> 17 known [Kh Mail_3].txt 560 561 of N in its N . _EOS_
#> 18 known [Kh Mail_3].txt 599 600 for the B J N . _EOS_
#> 19 known [Kh Mail_3].txt 625 626 N N and N N . _EOS_
#> 20 known [Kh Mail_3].txt 715 716 N J J J N . _EOS_
#> 21 known [Kh Mail_4].txt 222 223 , and V your N . _EOS_
#> 22 known [Kh Mail_4].txt 302 303 J N with the N . _EOS_
#> 23 known [Kh Mail_4].txt 666 667 V for a few N . _EOS_
#> 24 known [Kh Mail_4].txt 716 717 especially on the first N . _EOS_
#> 25 known [Kh Mail_4].txt 754 755 her to N on N . _EOS_
#> 26 known [Kh Mail_4].txt 774 775 after the N has V . _EOS_
#> 27 known [Kh Mail_4].txt 785 786 to N on the N . _EOS_
#> post authorship
#> 1 _BOS_ P V us they Q
#> 2 _BOS_ N is in the Q
#> 3 _BOS_ P , V is Q
#> 4 _BOS_ J N is always Q
#> 5 _BOS_ P , P , Q
#> 6 _BOS_ N is not a Q
#> 7 _BOS_ J N , but Q
#> 8 _BOS_ P is what your Q
#> 9 _BOS_ J N are B Q
#> 10 Q
#> 11 _BOS_ P had already run K
#> 12 _BOS_ V the N from K
#> 13 _BOS_ P i am still K
#> 14 _BOS_ P P P N K
#> 15 _BOS_ P per our N K
#> 16 _BOS_ P V to me K
#> 17 _BOS_ N of the N K
#> 18 _BOS_ P P , in K
#> 19 _BOS_ P P V a K
#> 20 K
#> 21 _BOS_ N , over J Reference
#> 22 _BOS_ B to D i Reference
#> 23 _BOS_ N and N under Reference
#> 24 _BOS_ V , with her Reference
#> 25 _BOS_ V N should be Reference
#> 26 _BOS_ V from talking to Reference
#> 27 Reference