TextWiller-package: A package for text mining, specially devoted to the italian...

In livioivil/TextWiller: Collection of functions for text mining, specially devoted to the italian language

Description

A package for text mining, specially devoted to the italian language

Details

Package:	TextWiller
Type:	Package
Version:	2.0
Date:	2016-05-12
License: GPL (>= 2)

Examples

 ## Not run: # install.packages("devtools") # if you don't already have it.
library(devtools)
install_github("livioivil/TextWiller")
library(TextWiller)

## End(Not run)


### normalize texts
normalizzaTesti(c('ciao bella!','www.associazionerospo.org','noooo, che grandeeeeee!!!!!','mitticooo', 'mai possibile?!?!'))

# get the sentiment of a document
sentiment(c("ciao bella!","farabutto!","fofi sei figo!"))


# Classify users' gender by (italian) names
classificaUtenti(c('livio','alessandra','andrea'))
classificaUtenti(c('alessandroBianchi', 'mariagiovanna', 'corriereDelMezzogiorno'), scan_interno=T)
# and classify location
data(vocabolarioLuoghi)
classificaUtenti(c('Bosa','Pordenone, Italy','Milan'),vocabolarioLuoghi)


# find re-tweets (RT) by texts similarity:
data(TWsperimentazioneanimale)
RTHound(TWsperimentazioneanimale[1:10,"text"], S = 3, L = 1, 
                 hclust.dist = 100, hclust.method = "complete",
                 showTopN=3)


#extract short urls and get the long ones
## Not run: urls=urlExtract("Influenza Vaccination | ONS - Oncology Nursing Society http://t.co/924sRKGBU9 See All http://t.co/dbtPJRMl00")

#extract short urls and get the long ones
## Not run: urls=urlExtract("Influenza Vaccination | ONS - Oncology Nursing Society http://t.co/924sRKGBU9 See All http://t.co/dbtPJRMl00")

#extract users:
## Not run: patternExtract(c("@luca @paolo: buon giorno!", "@matteo: a te!"), pattern="@\w+")

livioivil/TextWiller documentation built on Nov. 30, 2020, 3:17 a.m.