我有一个文件“check_text.txt”,其中包含“said say say make made”。我想对其执行词干以获得“说说说做做”。我尝试在tm
包中使用stemDocument
,如下所示,但只得到“said say say make made”。有没有办法对过去时态单词进行词干提取?在现实世界的自然语言处理中是否有必要这样做?谢谢!
filename = 'check_text.txt'
con <- file(filename, "rb")
text_data <- readLines(con,skipNul = TRUE)
close(con)
text_VS <- VectorSource(text_data)
text_corpus <- VCorpus(text_VS)
text_corpus <- tm_map(text_corpus, stemDocument, language = "english")
as.data.frame(text_corpus)$text
编辑:我还在SnowballC
包中尝试了wordStem
> library(SnowballC)
> wordStem(c("said", "say", "says", "make", "made"))
[1] "said" "sai" "sai" "make" "made"
最佳答案
如果包中有一个不规则英语动词的数据集,这个任务就很容易了。我只是不知道有任何包含此类数据的包,所以我选择通过抓取来创建自己的数据库。我不确定这个网站是否涵盖了所有不规则单词。如果有必要,您想搜索更好的网站来创建自己的数据库。拥有数据库后,您就可以开始执行任务了。
首先,我使用了 stemDocument()
并使用 -s 清理了当前表单。然后,我收集了words
中的过去形式(即过去
)、过去形式的不定式形式(即inf1
),识别了顺序temp
中过去的形式。我进一步确定了 temp
中过去表格的位置。我最终用不定式形式替换了 sat 形式。我对过去分词重复了相同的过程。
library(tm)
library(rvest)
library(dplyr)
library(splitstackshape)
### Create a database
x <- read_html("http://www.englishpage.com/irregularverbs/irregularverbs.html")
x %>%
html_table(header = TRUE) %>%
bind_rows %>%
rename(Past = `Simple Past`, PP = `Past Participle`) %>%
filter(!Infinitive %in% LETTERS) %>%
cSplit(splitCols = c("Past", "PP"),
sep = " / ", direction = "long") %>%
filter(complete.cases(.)) %>%
mutate_each(funs(gsub(pattern = "\\s\\(.*\\)$|\\s\\[\\?\\]",
replacement = "",
x = .))) -> mydic
### Work on the task
words <- c("said", "drawn", "say", "says", "make", "made", "done")
### says to say
temp <- stemDocument(words)
### past forms become present form
### Collect past forms
past <- mydic$Past[which(mydic$Past %in% temp)]
### Collect infinitive forms of past forms
inf1 <- mydic$Infinitive[which(mydic$Past %in% temp)]
### Identify the order of past forms in temp
ind <- match(temp, past)
ind <- ind[is.na(ind) == FALSE]
### Where are the past forms in temp?
position <- which(temp %in% past)
temp[position] <- inf1[ind]
### Check
temp
#[1] "say" "drawn" "say" "say" "make" "make" "done"
### PP forms to infinitive forms (same as past forms)
pp <- mydic$PP[which(mydic$PP %in% temp)]
inf2 <- mydic$Infinitive[which(mydic$PP %in% temp)]
ind <- match(temp, pp)
ind <- ind[is.na(ind) == FALSE]
position <- which(temp %in% pp)
temp[position] <- inf2[ind]
### Check
temp
#[1] "say" "draw" "say" "say" "make" "make" "do"
关于r - tm 包中的 StemDocment 不适用于过去时词,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/36230641/