twitter - Topic Modeling in R language -
i have 1 question ,i'm applying topic modeling - lda in r language , used determine topics of user's tweets , notice when i'm using command tweets ( last 500 tweets without retweets) sometime got 500 , sometime got 130 , got 45 different users same n=500 , factor behind that
tweets <- usertimeline("barackobama",n=500,includerts = false)
also if want remove name of user tweets how can in r because noticed accuracy of clustering topics it's not , don't know how can measure percentage of accuracy thing in r . last question if twitterr support arabic tweets or not !
thanks.
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