A Zoom into Ecuadorian Politics: Manifesto Text Classification using NLP-Reference-Cited by-同舟云学术

A Zoom into Ecuadorian Politics: Manifesto Text Classification using NLP

Published:2023-07-04 Issue: Volume: Page:
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Container-title:2023 IEEE 13th International Conference on Pattern Recognition Systems (ICPRS)
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Author:

Barzallo Fernanda¹,Moscoso María Emilia¹,Pérez Margorie¹,Baldeon-Calisto María¹,Navarrete Danny¹,Riofrío Daniel²,Medina-Pérez Pablo¹,Lai-Yuen Susana K.³

Affiliation:

1. Ingeniería Industrial, CATENA-USFQ,Colegio de Ciencias e Ingenierías "El Politécnico"

2. Applied Signal Processing and Machine Learning Research Group USFQ Universidad San Francisco de Quito USFQ,Colegio de Ciencias e Ingenierías "El Politécnico",Quito,Ecuador

3. University of South Florida,Colegio de Ciencias e Ingenierías "El Politécnico",Department of Industrial and Management Systems Engineering,Tampa,Florida

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10179008/10178988/10213340.pdf?arnumber=10213340

Reference44 articles.

1. Towards Automatic Comparison of Online Campaign Versus Electoral Manifestos

2. Emonas-net: Efficient multiobjective neural architecture search using surrogate-assisted evolutionary algorithm for 3d medical image segmentation;baldeón;Artificial Intelligence in Medicine,2021

3. Automatic Manifesto Comparison using NLP Techniques and The Manifesto Project Domains - Case Study: 2021 Ecuadorian Presidential Elections

4. pnlp-mixer: an efficient all-mlp architecture for language;fusco;Computer Science,2022

5. Design and analysis of experiments;montgomery,2013

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1. A Transformer Model for Manifesto Classification Using Cross-Context Training: An Ecuadorian Case Study;Social Science Computer Review;2024-07-24