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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書誌詳細
第一著者:	Rivera Zarate, Gilberto
その他の著者:	Florencia, Rogelio, García, Vicente, Sánchez Solís, Julia Patricia
フォーマット:	Artículo
言語:	en_US
出版事項:	2020
主題:	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
オンライン･アクセス:	https://doi.org/10.3390/app10186253 https://www.mdpi.com/2076-3417/10/18/6253
タグ:	タグ追加タグなし, このレコードへの初めてのタグを付けませんか!

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