Language intensity classification and Neuronal Networks

Kohonen Self-Organizing Maps (SOM) are a particular type of artificial neural network created by Teuvo Kohonen. Their unsupervised learning makes them suitable for application, among other things, to grouping tasks. Occupations have been grouped into this analysis considering the similarity in value of the variables that define this occupation in terms of language proficiency requirements. The 8 variables used were: v1-speaking skills, v2-writing skills, v3-speech clarity, v4-speech recognition, v5-English knowledge, v6-speaking ability, v7-communication with people outsiders, v8-communication with superiors, equals or subordinates. After applying this authomatic classification technique, the SOC occupations are classified according to five distinc groups with decreasing linguistic intensity:

Class 1: High linguistic intenisty requirements
Class 2: Medium-high linguistic intenisty requirements
Class 3: Medium linguistic intenisty requirements
Class 4: Medium-low linguistic intenisty requirements
Class 5: Low linguistic intenisty requirements