R tm removeWords函数不删除单词

Question

我试图从我建立的语料库中删除一些单词,但它似乎没有起作用.我首先浏览所有内容并创建一个数据框,按照频率顺序列出我的单词.我使用此列表来识别我不感兴趣的单词,然后尝试创建一个删除了单词的新列表.但是,单词仍保留在我的数据集中.我想知道我做错了什么以及为什么这些话没有被删除？我已经包含以下完整代码:

install.packages("rvest")
install.packages("tm")
install.packages("SnowballC")
install.packages("stringr")
library(stringr) 
library(tm) 
library(SnowballC) 
library(rvest)

# Pull in the data I have been using. 
paperList <- html("http://journals.plos.org/plosone/search?q=nutrigenomics&sortOrder=RELEVANCE&filterJournals=PLoSONE&resultsPerPage=192")
paperURLs <- paperList %>%
  html_nodes(xpath="//*[@class='search-results-title']/a") %>%
  html_attr("href")
paperURLs <- paste("http://journals.plos.org", paperURLs, sep = "")
paper_html <- sapply(1:length(paperURLs), function(x) html(paperURLs[x]))

paperText <- sapply(1:length(paper_html), function(x) paper_html[[1]] %>%
                      html_nodes(xpath="//*[@class='article-content']") %>%
                      html_text() %>%
                      str_trim(.))
# Create corpus
paperCorp <- Corpus(VectorSource(paperText))
for(j in seq(paperCorp))
{
  paperCorp[[j]] <- gsub(":", " ", paperCorp[[j]])
  paperCorp[[j]] <- gsub("\n", " ", paperCorp[[j]])
  paperCorp[[j]] <- gsub("-", " ", paperCorp[[j]])
}

paperCorp <- tm_map(paperCorp, removePunctuation)
paperCorp <- tm_map(paperCorp, removeNumbers)

paperCorp <- tm_map(paperCorp, removeWords, stopwords("english"))

paperCorp <- tm_map(paperCorp, stemDocument)

paperCorp <- tm_map(paperCorp, stripWhitespace)
paperCorpPTD <- tm_map(paperCorp, PlainTextDocument)

dtm <- DocumentTermMatrix(paperCorpPTD)

termFreq <- colSums(as.matrix(dtm))
head(termFreq)

tf <- data.frame(term = names(termFreq), freq = termFreq)
tf <- tf[order(-tf[,2]),]
head(tf)

# After having identified words I am not interested in
# create new corpus with these words removed.
paperCorp1 <- tm_map(paperCorp, removeWords, c("also", "article", "Article", 
                                              "download", "google", "figure",
                                              "fig", "groups","Google", "however",
                                              "high", "human", "levels",
                                              "larger", "may", "number",
                                              "shown", "study", "studies", "this",
                                              "using", "two", "the", "Scholar",
                                              "pubmedncbi", "PubMedNCBI",
                                              "view", "View", "the", "biol",
                                              "via", "image", "doi", "one", 
                                              "analysis"))

paperCorp1 <- tm_map(paperCorp1, stripWhitespace)
paperCorpPTD1 <- tm_map(paperCorp1, PlainTextDocument)
dtm1 <- DocumentTermMatrix(paperCorpPTD1)
termFreq1 <- colSums(as.matrix(dtm1))
tf1 <- data.frame(term = names(termFreq1), freq = termFreq1)
tf1 <- tf1[order(-tf1[,2]),]
head(tf1, 100)

如果你仔细观察,tf1你会注意到指定要删除的大量单词实际上并未被删除.

只是想知道我做错了什么,以及如何从我的数据中删除这些单词？

注意:removeWords正在做某事,因为输出来自head(tm, 100)和head(tm1, 100)不完全相同.所以removeWords似乎删除了我试图摆脱的一些实例,但并非所有实例.

Answer 1

我切换了一些代码并添加了tolower.停用词全部为小写,因此您需要在删除停用词之前先执行此操作.

paperCorp <- tm_map(paperCorp, removePunctuation)
paperCorp <- tm_map(paperCorp, removeNumbers)
# added tolower
paperCorp <- tm_map(paperCorp, tolower)
paperCorp <- tm_map(paperCorp, removeWords, stopwords("english"))
# moved stripWhitespace
paperCorp <- tm_map(paperCorp, stripWhitespace)

paperCorp <- tm_map(paperCorp, stemDocument)

不再需要大写单词,因为我们将所有内容都设置为小写.你可以删除这些.

paperCorp <- tm_map(paperCorp, removeWords, c("also", "article", "Article", 
                                               "download", "google", "figure",
                                               "fig", "groups","Google", "however",
                                               "high", "human", "levels",
                                               "larger", "may", "number",
                                               "shown", "study", "studies", "this",
                                               "using", "two", "the", "Scholar",
                                               "pubmedncbi", "PubMedNCBI",
                                               "view", "View", "the", "biol",
                                               "via", "image", "doi", "one", 
                                               "analysis"))

paperCorpPTD <- tm_map(paperCorp, PlainTextDocument)

dtm <- DocumentTermMatrix(paperCorpPTD)

termFreq <- colSums(as.matrix(dtm))
head(termFreq)

tf <- data.frame(term = names(termFreq), freq = termFreq)
tf <- tf[order(-tf[,2]),]
head(tf)

           term  freq
fatty     fatty 29568
ppar?     ppara 23232
acids     acids 22848
gene       gene 15360
dietary dietary 12864
scholar scholar 11904

tf[tf$term == "study"]


data frame with 0 columns and 1659 rows

正如您所看到的,结果是研究不再属于语料库.其余的话也消失了

Answer 2

如果有人得到像我这样的错误并且上面的解决方案仍然不起作用,请尝试使用: paperCorp <- tm_map(paperCorp, content_transformer(tolower))而不是paperCorp <- tm_map(paperCorp, tolower)因为tolower()是来自基础包的函数并返回不同的结构(我的意思是更改结果类型中的某些内容)所以你不能使用例如paperCorp[[j]]$content但是只paperCorp[[j]].这只是一个题外话,可能对某人有点愚蠢.