Q:

Cleaning accent in text twitter

I am working in text mining with spanish twitts, my problem is that i have the same words but in differents ways (with accent and without accent), example: accion, acción. 
I tried to use coding: unicode "UTF-8", but dont work.
my library
library(stringi)
library(twitteR)
library(tm)
library(wordcloud)
library(RColorBrewer)

A:

You did not specify clearly what you are trying to do with accessed tweets ( saving in a text file, or as a dataframe etc.) If you are using UTF-8 encoding it will basically preserve the letter as it is. 
 con <- file("C:/Dir1/sub_dir1/output/output.txt", encoding = "UTF-8")
 write(df, file = con)

However, if you are trying to change this accent characters into normal equivalent
The simplest way would be using iconv
iconv( "acción", to='ASCII//TRANSLIT')
>[1] "accion"  

