使用R推文进行文本挖掘

Question

我想对我的推文的所有主题标签使用文本挖掘。我将所有关于csv文件的数据与Tweets和hashtags分开

    file_loc <- "/Users/Desktop/DATA/DATA.csv"
    CSVFile <- read.csv(file_loc, header = TRUE, sep= ";",encoding = "UTF-8")

    #Add new column as hashtags 
    CSVFile$hashtags <- sapply(str_extract_all(CSVFile$Text, "#\\S+"), paste, collapse=" ") 

    #DELETE ALL Lines/Tweets without Hashtags
    CSVFile <- CSVFile[!(CSVFile$hashtags == ""), ]
    # create a corpus of hashtags
    myCorpus <-Corpus(VectorSource(CSVFile$hashtags))
    myCorpus <- tm_map(myCorpus,
               content_transformer(function(x) iconv(myCorpus, to = "ASCII", sub = " ") ))

所以，问题是我在同一条推文中有几个主题标签，我不想在开始数据预处理之前将它们分开。

示例：

[984] #Springparty #rocknroll #fashion #thankyou #cocktails #photographerVmakeupartistÌã                 
 [985] #holborn #redwine #wednesday #goodfriends #funÌã                                                   
 [986] #datenight #indianfood #tamashabromley #foodporn #beers #cocktails #kamasutra                      
 [987] #ThisIsLondon #TakeMeBackToLondon                                                                  
 [988] #gameofthrones