An automated text categorization framework based on hyperparameter optimization

A great variety of text tasks such as topic or spam identification, user profiling, and sentiment analysis can be posed as a supervised learning problem and tackled using a text classifier. A text classifier consists of several subprocesses, some of them are general enough to be applied to any super...

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Veröffentlicht in:	Knowledge-based systems 2018-06, Vol.149, p.110-123
Hauptverfasser:	Tellez, Eric S., Moctezuma, Daniela, Miranda-Jiménez, Sabino, Graff, Mario
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Artificial intelligence Authoring Classification Classifiers Data mining Datasets Hyperparameter optimization Machine learning Natural language processing Sentiment analysis Text analysis Text categorization Text classification Text modelling
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