Multi-Label Text Classification with Transfer Learning for Policy Documents : The Case of the Sustainable Development Goals

Multi-Label Text Classification with Transfer Learning for Policy Documents : The Case of the Sustainable Development Goals

We created and analyzed a text classification dataset from freely-available web documents from the United Nation's Sustainable Development Goals. We then used it to train and compare different multi-label text classifiers with the aim of exploring the alternatives for methods that facilitate th...

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Bibliographic Details
Main Author: Rodríguez Medina, Samuel
Format: Others
Language:English
Published: Uppsala universitet, Institutionen för lingvistik och filologi 2019
Subjects:
machine learning
deep neural networks
transfer learning
text classification
sustainable development goals
sdgs
Language Technology (Computational Linguistics)
Språkteknologi (språkvetenskaplig databehandling)
Online Access:http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-395186

Internet

http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-395186

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