Three Approaches to Client Email Topic Classification
Branislava Šandrih Todorović, Katarina Josipović, Jurij Kodre
Abstract
This paper describes a use case that was implemented and is currently running in production at the Nova Ljubljanska Banka, that involves classifying incoming client emails in the Slovenian language according to their topics and priorities. Since the proposed approach relies only on the Named Entity Recogniser (NER) of personal names as a language-dependent resource (for the purpose of anonymisation), that is the only prerequisite for applying the approach to any other language.- Anthology ID:
- 2023.ranlp-1.109
- Volume:
- Proceedings of the 14th International Conference on Recent Advances in Natural Language Processing
- Month:
- September
- Year:
- 2023
- Address:
- Varna, Bulgaria
- Editors:
- Ruslan Mitkov, Galia Angelova
- Venue:
- RANLP
- SIG:
- Publisher:
- INCOMA Ltd., Shoumen, Bulgaria
- Note:
- Pages:
- 1015–1022
- Language:
- URL:
- https://aclanthology.org/2023.ranlp-1.109
- DOI:
- Cite (ACL):
- Branislava Šandrih Todorović, Katarina Josipović, and Jurij Kodre. 2023. Three Approaches to Client Email Topic Classification. In Proceedings of the 14th International Conference on Recent Advances in Natural Language Processing, pages 1015–1022, Varna, Bulgaria. INCOMA Ltd., Shoumen, Bulgaria.
- Cite (Informal):
- Three Approaches to Client Email Topic Classification (Šandrih Todorović et al., RANLP 2023)
- PDF:
- https://preview.aclanthology.org/emnlp-22-attachments/2023.ranlp-1.109.pdf