Multivariate Text Mining Module (MTMM)
UV
Multivariante Text Mining Module (MTMM) is a user – oriented interface that integrates the functions from
the exploratory analysis method in a text. This interface covers descriptive statistics that frequency
tables and plot (Word cloud and Zipf's law), Analysis of similarity, Correspondence Factorial Analysis
(AFC) and Reinert.
WINDOWS / LINUX
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#Comand to install
install.packages("devtools")
library("devtools")
devtools::install_github('nshuerta/MTMM')
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#Call to library
library(MTMM)
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#View the description
library(help=MTMM)
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#View the requirements
?MTMM
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MAC OS X
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#Install tcltk
tcltk-8.5.5-x11.pkg (OS X 10.5+, signed)
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| 2 |
#Install XQuartz
The use of X11 (including tcltk) requires XQuartz
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| 3 |
#Restart the computer
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| 4 |
#Comand to install
install.packages("devtools")
library("devtools")
devtools::install_github('nshuerta/MTMM')
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| 5 |
#Call to library
library(MTMM)
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| 6 |
#View the description
library(help=MTMM)
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| 7 |
#View the requirements
?MTMM
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EXAMPLE
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#Call to library
library(MTMM)
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| 2 |
#Call the interface
MTMM()
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#Choose a data set (csv)
File - Open - csv
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#Choose method
Method
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#Use of sections - Descriptive
Method - Descriptive.general - Word Cloud
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| 6 |
#Use of sections - Reinert
Method - Reinert
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DOCUMENTATION
REFERENCES
- Luis Jesus Lozano-Duran, Nery Sofia Huerta-Pacheco, Jose Guillermo Hernandez-Calderon and Sergio Hernandez-Gonzalez (2018).
MTMM: Multivariate Text Mining Module. R package version 0.1.0. http://www.uv.mx/personal/nehuerta/mtmm