Learn about non-negative matrix factorization for topic modeling in Python with data from the News Articles dataset (2016) /

This dataset is designed for teaching a topic-modeling technique called Non-Negative Matrix Factorization (NMF), which is used to find latent topic structures in text data. The dataset is a subset of data derived from the 2016 News Articles dataset, and the example investigates the topics discussed...

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Bibliographic Details

Main Author:	Shi, Feng, active 2019 (Author)
Format:	eBook
Language:	English
Published:	London : SAGE Publications, Ltd., 2019.
Subjects:	Multivariate analysis. Computational linguistics. Python (Computer program language) Multivariate Analysis Analyse multivariée. Linguistique informatique. Python (Langage de programmation) computational linguistics. Computational linguistics Multivariate analysis
Online Access:	Connect to the full text of this electronic book