我正在尝试在Azure ML中安装qdap软件包.其余的依赖包安装没有任何问题.说到qdapTools,我得到了这个错误,虽然我尝试安装的版本是1.3.1(从R包附带的Decription文件中验证了这一点)
package 'qdapTools' 1.1.0 was found, but >= 1.3.1 is required by 'qdap
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"执行R脚本"中的代码:
install.packages("src/qdapTools.zip", repos = NULL, verbose = TRUE)
install.packages("src/magrittr.zip", lib = ".", repos = NULL, verbose = TRUE)
install.packages("src/stringi.zip", lib = ".", repos = NULL, verbose = TRUE)
install.packages("src/stringr.zip", lib = ".", repos = NULL, verbose = TRUE)
install.packages("src/qdapDictionaries.zip", lib = ".", repos = NULL, verbose = TRUE)
install.packages("src/qdapRegex.zip", lib = ".", repos = NULL, verbose = TRUE)
install.packages("src/RColorBrewer.zip", lib = ".", repos = NULL, verbose …Run Code Online (Sandbox Code Playgroud) 我想将openNLP中的解析(POS标记)显示为树结构可视化.下面我提供了openNLP的解析树,但我不能将其绘制为Python解析常见的可视化树.
install.packages(
"http://datacube.wu.ac.at/src/contrib/openNLPmodels.en_1.5-1.tar.gz",
repos=NULL,
type="source"
)
library(NLP)
library(openNLP)
x <- 'Scroll bar does not work the best either.'
s <- as.String(x)
## Annotators
sent_token_annotator <- Maxent_Sent_Token_Annotator()
word_token_annotator <- Maxent_Word_Token_Annotator()
parse_annotator <- Parse_Annotator()
a2 <- annotate(s, list(sent_token_annotator, word_token_annotator))
p <- parse_annotator(s, a2)
ptext <- sapply(p$features, `[[`, "parse")
ptext
Tree_parse(ptext)
## > ptext
## [1] "(TOP (S (NP (NNP Scroll) (NN bar)) (VP (VBZ does) (RB not) (VP (VB work) (NP (DT the) (JJS …Run Code Online (Sandbox Code Playgroud)