1masc/textmining-grouping repository overview

⁠Text Mining - Grouping

This R script contains a set of text and data mining algorithms:

• Normalized Compression Distance⁠
• Multidimensional Scaling⁠
• Affinity Propagation⁠

For input a text or text file can be used with the following definition

<label1>: <any text>
<label2>: <any text>
...

A working Shiny application⁠ can run online within a browser or manually started wih the command source("main.r"). The application does the following steps:

1. cleaning input text, stopword reduction, remove punctation and numbers

2. runs the normalized compression distance to analyse dissimilarity of the text input

3. runs the multidimensional scaling to create a 2D projection of the dissimilarity data

4. runs affinity propagation of 2D projection to build groups of data