Publication:

A Multi-Label Classifier for Online Petition Systems

Date

Date

Date
2024
Conference or Workshop Item
Published version

Citations

Citation copied

Buryakov, D., Kovacs, M., Serdült, U., & Kryssanov, V. (2024). A Multi-Label Classifier for Online Petition Systems. 156–164. https://doi.org/10.1145/3657054.3657250

Abstract

Abstract

Abstract

Online petitions are an important means for citizens to express their concerns and to interact with government entities. Due to the increase in the number of petitions, manually attributing them to the competent unit in public administration creates a bottleneck, leading to response delays, and potentially even errors. To address this problem, a multi-label classifier using fine-tuned BERT model is suggested. The proposed model, trained on a dataset from the Taiwanese Join Platform, performs reasonably well in predicting the governmen

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Creators (Authors)

Event Title

Event Title

Event Title
DGO 2024: 25th Annual International Conference on Digital Government Research

Event Location

Event Location

Event Location
Taipei Taiwan

Event Start Date

Event Start Date

Event Start Date
2024-06-11

Event End Date

Event End Date

Event End Date
2024-06-14

Page range/Item number

Page range/Item number

Page range/Item number
156

Page end

Page end

Page end
164

Item Type

Item Type

Item Type
Conference or Workshop Item

Dewey Decimal Classifikation

Dewey Decimal Classifikation

Dewey Decimal Classifikation

Language

Language

Language
English

Date available

Date available

Date available
2024-09-12

OA Status

OA Status

OA Status
Closed

Free Access at

Free Access at

Free Access at
Unspecified

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Citations

Citation copied

Buryakov, D., Kovacs, M., Serdült, U., & Kryssanov, V. (2024). A Multi-Label Classifier for Online Petition Systems. 156–164. https://doi.org/10.1145/3657054.3657250

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