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Assessing Learning Paradigms in Text Classification Using ML - Mohammed Abdul Wajeed

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2018-01-03
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Text categorization has become the core research area in text mining domain. Semi-supervised learning paradigm is relatively new learning paradigm compared to supervised and unsupervised learning, semi-supervised learning paradigm is introduced. The topics in the book are introduced such that a novice reader can grasp them easily. The simple to implement, traditional K-Nearest Neighbour learning algorithm i ... Visas aprašymas

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Text categorization has become the core research area in text mining domain. Semi-supervised learning paradigm is relatively new learning paradigm compared to supervised and unsupervised learning, semi-supervised learning paradigm is introduced. The topics in the book are introduced such that a novice reader can grasp them easily. The simple to implement, traditional K-Nearest Neighbour learning algorithm is employed in the process of categorization. Terms importance with respect to each class label are identified and are used to improve the performance of the traditional KNN algorithm.

Daugiau informacijos

Autorius Mohammed Abdul Wajeed
Leidėjas LAP LAMBERT Academic Publishing
Išleidimo metai 2018
Viršelio tipas Minkšti viršeliai
EAN 9786202197922
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50,92 € 78,34 €