posParallel {RcppMeCab} | R Documentation |
posParallel
returns part-of-speech (POS) tagged morpheme of the sentence.
posParallel(sentence, join = TRUE, format = c("list", "data.frame"), sys_dic = "", user_dic = "")
sentence |
A character vector of any length. For analyzing multiple sentences, put them in one character vector. |
join |
A bool to decide the output format. The default value is TRUE. If FALSE, the function will return morphemes only, and tags put in the attribute. if |
format |
A data type for the result. The default value is "list". You can set this to "data.frame" to get a result as data frame format. |
sys_dic |
A location of system MeCab dictionary. The default value is "". |
user_dic |
A location of user-specific MeCab dictionary. The default value is "". |
This is a parallelized version of MeCab part-of-speech tagger. The function gets a character vector of any length and runs a loop inside C++ with Intel TBB to provide faster processing.
Parallelizing over a character vector is not supported by RcppParallel
.
Thus, this function makes duplicates of the input and the output.
Therefore, if your data volume is large, use pos
or divide the vector to
several sub-vectors.
You can add a user dictionary to user_dic
. It should be compiled by
mecab-dict-index
. You can find an explatation about compiling a user
dictionary in the https://github.com/junhewk/RcppMeCab.
You can also set a system dictionary especially if you are using multiple
dictionaries (for example, using both IPA and Juman dictionary at the same time in Japanese)
in sys_dic
. Using options(mecabSysDic=)
, you can set your
prefered system dictionary to the R terminal.
If you want to get a morpheme only, use join = False
to put tag names on the attribute.
Basically, the function will return a list of character vectors with (morpheme)/(tag) elements.
A string vector of POS tagged morpheme will be returned in conjoined character vecter form. Element name of the list are original phrases
## Not run: sentence <- c(#some UTF-8 texts) posParallel(sentence) posParallel(sentence, join = FALSE) posParallel(sentence, format = "data.frame") posParallel(sentence, user_dic = "~/user_dic.dic") # System dictionary example: in case of using mecab-ipadic-NEologd pos(sentence, sys_dic = "/usr/local/lib/mecab/dic/mecab-ipadic-neologd/") ## End(Not run)