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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

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.