让我们从一个可复制的示例开始,这是一个名为
key
key <- structure(c("Make Professional Maps with QGIS and Inkscape",
"Gain the skills to produce original, professional, and aesthetically pleasing maps using free software",
"English", "Inkscape 101 for Beginners - Design Vector Graphics",
"Learn how to create and design vector graphics for free!", "English",
"Design & Create Vector Graphics With Inkscape 2016", "The Beginners Guide to designing and creating Vector Graphics with Inkscape. No Experience needed!",
"English", "Design a Logo for Free in Inkscape", "Learn from an award winning, published logo design professional!",
"English", "Inkscape - Beginner to Pro", "If you want to have a decent learning curve, you are new to the program or even in design, this course is for you.",
"English", "Creating 2D Textures in Inkscape", "A guide to creating colorful and interesting textures in inkscape.",
"English", "Vector Art in Inkscape - Icon Design | Make Vector Graphics",
"Learn Icon Design by creating Vector Graphics using the .SVG and PNG format with the Free Software Inkscape!",
"English", "Inkscape and Bootstrap 3 -> Responsive Web Design!",
"Design responsive websites using Free tools Inkscape and Bootstrap 3! Mood Boards and Style Tiles to Mobile First!",
"English"), .Dim = c(3L, 8L), .Dimnames = list(c("Title", "Short_Description",
"Language"), c("1", "2", "4", "5", "6", "9", "13", "15")))
我想
. 为此,我使用
udpipe
从R。
for
循环。
在开始之前,我们以英语为参考创建模型(
see this link for more info
):
library(udpipe)
ud_model <- udpipe_download_model(language = "english")
ud_model <- udpipe_load_model(ud_model$file_model)
理想情况下,我的最终输出将是一个包含8列的数据帧,提取了这么多行作为关键字。
我试过两种方法:
方法一:使用
dplyr
library(dplyr)
keywords <- list()
for(i in ncol(keywords_en_t)){
keywords[[i]] <- keywords_en_t %>%
udpipe_annotate(ud_model,s)
as.data.frame()
}
方法2:
key <- list()
stats <- list()
for(i in ncol(keywords_en_t)){
key[[i]] <- as.data.frame(udpipe_annotate(ud_model, x = keywords_en_t[,i]))
stats[[i]] <- subset(key[[i]], upos %in% "NOUN")
stats <- txt_freq(x = stats$lemma)
}
输出
在这两种情况下,或我得到一些错误或输出不是预期的。
如前所述,我期望的输出是一个dataframe,其中8列表示关键字行