Question

我是ML爱好者。最近我开始使用R及其软件包。但是我无法为R 3.2.0安装情绪包。我已经用Google搜索了这个问题。它说R 3.2.0不再提供情绪包了。但是我在许多github存储库中看到过没有使用情绪包但仍在使用它的文件。我的主要问题是如何使用R 3.2的情绪包0.0

Answer 1

这是一个起点。首先是安装情绪插件的一些代码（谢谢你，Dason，有用的评论）。

接下来，使用之前SO帖子中的一些文字来展示您可能会做什么，您可以创建一个数据框。

安装包以进行情绪分析：

# install.packages("tm.lexicon.GeneralInquirer", repos="http://datacube.wu.ac.at", type="source")
library(tm.lexicon.GeneralInquirer)
# install.packages("tm.plugin.sentiment", repos="http://R-Forge.R-project.org")
library(tm.plugin.sentiment) # posted comments on SO about this not working
library(tm)

使用已安装的功能：

some_txt<- c("I am very happy at stack overflow , excited, and optimistic.",
             "I am very scared from OP question, annoyed, and irritated.", "I am completely neutral about blandness.")
corpus <- Corpus(VectorSource(some_txt)) 
pos <- sum(sapply(corpus, tm_term_score, terms_in_General_Inquirer_categories("Positiv")))
neg <- sum(sapply(corpus, tm_term_score, terms_in_General_Inquirer_categories("Negativ")))
pos.score <- tm_term_score(TermDocumentMatrix(corpus, control = list(removePunctuation = TRUE)), 
                           terms_in_General_Inquirer_categories("Positiv")) # this lists each document with number below

neg.score <- tm_term_score(TermDocumentMatrix(corpus, control = list(removePunctuation = TRUE)), 
                           terms_in_General_Inquirer_categories("Negativ")) 

total.df <- data.frame(positive = pos.score, negative = neg.score)
total.df <- transform(total.df, net = positive - negative)

  positive negative net
1        3        1   2
2        0        1  -1
3        0        0   0

如何在R 3.2.0中使用情感包

1 个答案: