Automatic Classification of the Economic Activity of a Company Using ML and DL Techniques: A First Approach

Often, a study or research process requires the analysis of large volumes of information in the form of unstructured text. This task consumes a large amount of time and resources of the human experts in charge of it. For this reason, there is great interest in developing automatic systems to support these activities by applying Natural Language Processing and Machine Learning techniques. The work presented here is part of the CIDMEFEO project, developed in collaboration with the Instituto Nacional de Estadística (INE). Our work focuses on the development of a text classification prototype for the identification and labeling of the different economical activities performed by Spanish companies.