News Classification for Identifying Traffic Incident Points in a Spanish-Speaking Country: A Real-World Case Study of Class Imbalance Learning

News Classification for Identifying Traffic Incident Points in a Spanish-Speaking Country: A Real-World Case Study of Class Imbalance Learning

‘El Diario de Juárez’ is a local newspaper in a city of 1.5 million Spanish-speaking inhabitants that publishes texts of which citizens read them on both a website and an RSS (Really Simple Syndication) service. This research applies natural-language-processing and machine-learning algorithms to the...

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Библиографические подробности
Главный автор:	Rivera Zarate, Gilberto
Другие авторы:	Florencia, Rogelio, García, Vicente, Sánchez Solís, Julia Patricia
Формат:	Artículo
Язык:	en_US
Опубликовано:	2020
Предметы:	natural language processing short-text classification data extraction sampling algorithms vector support machine random forest smart cities real-world application info:eu-repo/classification/cti/1
Online-ссылка:	https://doi.org/10.3390/app10186253 https://www.mdpi.com/2076-3417/10/18/6253
Метки:	Добавить метку Нет меток, Требуется 1-ая метка записи!

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