Active learning for automatic classification of complaints about municipal waste management

• Autorzy: Giel Robert , Dąbrowska Alicja , Werbińska-Wojciechowska Sylwia

Identyfikatory

DOI

10.37190/epe210404

• Języki publikacji: EN

Abstrakty

EN

Information flow is an important issue in the area of waste management. There is a need for a fast response to reported problems. Therefore we investigated the classification process of Polish wasterelated complaints sent by Wrocław’s residents. It has been noticed that residents, mostly without expert knowledge of waste management, incorrectly classify the observed problems. In response to the observed unacceptable classification accuracy, we introduced a multi-class machine learning classification. Machine learning is widely used in waste management issues like predicting waste generation or different waste fractions identification for automated sorting. However, based on the literature review, it can be stated that there is a lack of solutions in machine learning-based text classification regarding waste management. Ten chosen classifiers were used to classify considered complaints into defined categories automatically. Additionally, we incorporated the active learning approach to reduce experts' effort involved in the labeling process, which is necessary when having an unlabeled dataset. The results confirm the possibility of applying machine learning algorithms to waste-related Polish complaints.

Słowa kluczowe

EN

machine learning; waste separation; municipal economy

PL

uczenie maszynowe; segregacja odpadów; gospodarka komunalna

• Wydawca: Oficyna Wydawnicza Politechniki Wrocławskiej
• Czasopismo: Environment Protection Engineering
• Rocznik: 2021
• Tom: Vol. 47, nr 4
• Strony: 53--66
• Opis fizyczny: Bibliogr. 25 poz., rys., tab.

Twórcy

autor

Giel Robert

• Faculty of Mechanical Engineering, Department of Operation and Maintenance of Technical Systems, Wrocław University of Science and Technology, Wybrzeże Wyspiańskiego 27, 50-370 Wrocław, Poland

• https://orcid.org/0000-0002-7406-0044

autor

Dąbrowska Alicja

• Faculty of Mechanical Engineering, Department of Operation and Maintenance of Technical Systems, Wrocław University of Science and Technology, Wybrzeże Wyspiańskiego 27, 50-370 Wrocław, Poland

• https://orcid.org/0000-0003-2526-6916

autor

Werbińska-Wojciechowska Sylwia

• Faculty of Mechanical Engineering, Department of Operation and Maintenance of Technical Systems, Wrocław University of Science and Technology, Wybrzeże Wyspiańskiego 27, 50-370 Wrocław, Poland

• https://orcid.org/0000-0002-9228-982X

Bibliografia

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