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

English
2018-01-03
€57.45 €71.81

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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 ... Full description

Description

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.

More Information

Author Mohammed Abdul Wajeed
Publisher LAP LAMBERT Academic Publishing
Release year 2018
Cover type Softcover
EAN 9786202197922
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€57.45 €71.81