Text Mining GUI Interface

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

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