Mixtures of Dirichlet-multinomial distributions for supervised and unsupervised classification of short text data

DOI10.1007/S11634-020-00399-3zbMath1459.62102OpenAlexW3028965318MaRDI QIDQ2022483

Cinzia Viroli, Laura Anderlucci

Publication date: 29 April 2021

Published in: Advances in Data Analysis and Classification. ADAC (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11634-020-00399-3

zbMATH Keywords

clusteringmixture modelsgradient descent algorithmtext data analysis

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Learning and adaptive systems in artificial intelligence (68T05) Computing methodologies for text processing; mathematical typography (68U15)

Related Items (2)

Variational Bayes estimation of hierarchical Dirichlet-multinomial mixtures for text clustering ⋮ Clustering multivariate count data via Dirichlet-multinomial network fusion

Uses Software

• rda
• tm

Cites Work

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• Class prediction by nearest shrunken centroids, with applications to DNA microarrays.
• Text classification from labeled and unlabeled documents using EM
• Support-vector networks
• Introduction to Semi-Supervised Learning
• Nearest neighbor pattern classification
• Random forests

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