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Machine Learning for Text

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DOI10.1007/978-3-319-73531-3zbMath1395.68001OpenAlexW2790404387MaRDI QIDQ4569273

Charu C. Aggarwal

Publication date: 28 June 2018

Full work available at URL: https://doi.org/10.1007/978-3-319-73531-3

zbMATH Keywords

classification neural networks clustering nonlinear transformations hierarchical clustering information retrieval logistic regression hidden Markov models kernel methods kernels recurrent neural networks singular-value decomposition decision tree support vector machines indexing search engines machine learning event detection dimensionality reduction k-means matrix factorization query processing feature selection sentiment analysis deep learning non-negative matrix factorization text summarization text processing information extraction probabilistic latent semantic analysis classifier evaluation least-squares regression rule-based classification linear classifiers text segmentation similarity computation classifier performance neural language models Naïve Bayes classification corpus-based approaches crawling and resource discovery data-dependent kernels dictionary-based approaches extracting tokens/features lexical chains mining text streams opinion summarization performance enhancement with ensembles shared matrix factorization trick

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Introductory exposition (textbooks, tutorial papers, etc.) pertaining to computer science (68-01) Learning and adaptive systems in artificial intelligence (68T05) Research exposition (monographs, survey articles) pertaining to computer science (68-02) Information storage and retrieval of data (68P20) Natural language processing (68T50)

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