Return a function which reads in a text document containing POS-tagged words.
Arguments passed to
Formally this function is a function generator, i.e., it returns a
function (which reads in a text document) with a well-defined
signature, but can access passed over arguments (
via lexical scoping.
function with the following formals:
a named list with the component
content which must
hold the document to be read in or the component
uri holding a
connection object or a character string.
a string giving the language.
a character giving a unique identifier for the created text document.
The function returns a
TaggedTextDocument representing the
text and metadata extracted from
id is used as fallback if
elem$uri is null.
Reader for basic information on the reader infrastructure
employed by package tm.
1 2 3 4 5 6 7 8 9 10 11
# See http://www.nltk.org/book/ch05.html or file ca01 in the Brown corpus x <- paste("The/at grand/jj jury/nn commented/vbd on/in a/at number/nn of/in", "other/ap topics/nns ,/, among/in them/ppo the/at Atlanta/np and/cc", "Fulton/np-tl County/nn-tl purchasing/vbg departments/nns which/wdt", "it/pps said/vbd ``/`` are/ber well/ql operated/vbn and/cc follow/vb", "generally/rb accepted/vbn practices/nns which/wdt inure/vb to/in the/at", "best/jjt interest/nn of/in both/abx governments/nns ''/'' ./.") vs <- VectorSource(x) elem <- getElem(stepNext(vs)) (doc <- readTagged()(elem, language = "en", id = "id1")) tagged_words(doc)
Loading required package: NLP <<TaggedTextDocument>> Metadata: 2 Content: words: 43, sents: 1, paras: 1 The/AT grand/JJ jury/NN commented/VBD on/IN a/AT number/NN of/IN other/AP topics/NNS ,/, among/IN them/PPO the/AT Atlanta/NP and/CC Fulton/NP-TL County/NN-TL purchasing/VBG departments/NNS which/WDT it/PPS said/VBD ``/`` are/BER well/QL operated/VBN and/CC follow/VB generally/RB accepted/VBN practices/NNS which/WDT inure/VB to/IN the/AT best/JJT interest/NN of/IN both/ABX governments/NNS ''/'' ./.
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