Comparison of Machine Learning Approaches for Industry Classification Based on Textual Descriptions of Companies
Sirma AI trading as Ontotext, Bulgara, Andrey Tagarev, Nikola Tulechki, Sirma AI trading as Ontotext, Bulgara, Svetla Boytcheva, Sirma AI trading as Ontotext, Bulgara · 2019
This paper addresses the task of categorizing companies within industry classification schemes.The dataset consists of encyclopedic articles about companies and their economic activities.The target classification schema is build by mapping linked open data in a semi-supervised manner.Target classes are built bottom-up from DBpedia.We apply several state of the art text classification techniques, based both on deep learning and classical vectorspace models.