Graphic interface for text analysis, implement a few methods such as biplot, correspondece analysis, co-occurrence, clustering, topic models, correlations and sentiments.

https://c0reyes.github.io/TextMiningGUI/

install.packages(c("tcltk", "dplyr", "tidyr", "tidytext", "tibble", "tm", "SnowballC", "slam", "syuzhet", "ggplot2", "ggwordcloud", "RColorBrewer")) 

Optionals:

install.packages(c("tkrplot", "readxl", "jsonlite", "parallel", "ggrepel", "ggpubr", "igraph", "ggraph", "ape", "topicmodels", "ca", "corrr")) 

CRAN

install.packages("TextMiningGUI") 

GitHub

install.packages("devtools") devtools::install_github("c0reyes/TextMiningGUI") 

library(TextMiningGUI) TextMiningGUI() 

• Import files: csv, excel, json or RData.
• Save project.
• Set work directory.

• Converter Columns
• Transform
• Slice
• View Data
• View Lexical Table
• View Clean Data

• Statistics
• Most common words
• Word Group
• Word Cloud
• Co-ocurrence
• Cluster
• Correlation
• Correlation Between Two Groups
• AFC
• HJ-Biplot
• Emotions & Sentiments
• Topic Models