It supports processing and etymological information of text in several languages, such as Japanese, English, French, German, Italian, Portuguese and Spanish.

Specifically, it can contribute factual examination co-event system hub structure, computerized arranging guide, multidimensional scaling and comparative calculations.

[2] It is well received by researchers worldwide and used in a large number of disciplines, including neuroscience, sociology, psychology, public health, media studies, education research and computer science.

[3] More than 3500 academic research papers were published that use KH Coder according to a list compiled by the author.

[6] Its features include: KH Coder allows for further search and statistical analysis functions using back-end tools such as Stanford POS Tagger, the natural language processing toolkit FreeLing, Snowball stemmer, MySQL and R.