如何将Txt文件转换为.Rdata格式

Question

I am using my python script and Tweepy to collect tweets and extract only text portion. I saved all the texts from these tweets in txt format.

I am now trying to load this text in R for textual analysis using this module ( http://rpubs.com/gogamza/ko_text_mining ) However, this R module only accepts .Rdata files, and I somehow need to feed my tweet collection onto R.

The R code says:

library(twitteR)
# n <- 200
# 
# keyword <- '삼성전자'
# 
# keyword <- enc2utf8(keyword)
# 
# rdmTweets <- searchTwitter(keyword, n)

load(url("http://dl.dropbox.com/u/8686172/twitter.RData"))

nDocs <- length(rdmTweets)

So, inside the load command, I'd like to add my own text file there.
Can someone offer me a tip? Thanks a lot.. I'd appreciate it so much.

Answer 1

You can load the data in your txt file in R and save it as an RData file:

sapply(list.files("/folderWithFiles", pattern="*.txt", full.names = TRUE),
       function(x) { myDataInVector = scan(x, what=character()); save(myDataInVector, file=gsub("\\.txt","\\.RData",x))  } )

The reading in part scan(x, what=character()) assumes you have your data in all in the text file as a space delimited vector. You can use read.table or change the arguments of the scan command if it is in a different format.