TextMiningGUI

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/

Prerequisites

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"))

Install

CRAN

install.packages("TextMiningGUI")

GitHub

install.packages("devtools")

devtools::install_github("c0reyes/TextMiningGUI")

Run

library(TextMiningGUI)

TextMiningGUI()

File Menu

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

Data Menu

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

Analysis Menu

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