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Machine learning for text

Aggarwal, Charu C.

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Machine learning for text

Record Type:	Electronic resources : Monograph/item
Title/Author:	Machine learning for text/ by Charu C. Aggarwal.
Author:	Aggarwal, Charu C.
Published:	Cham :Springer International Publishing : : 2018.,
Description:	xxiii, 493 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:	1 An Introduction to Text Analytics -- 2 Text Preparation and Similarity Computation -- 3 Matrix Factorization and Topic Modeling -- 4 Text Clustering -- 5 Text Classification: Basic Models -- 6 Linear Models for Classification and Regression -- 7 Classifier Performance and Evaluation -- 8 Joint Text Mining with Heterogeneous Data -- 9 Information Retrieval and Search Engines -- 10 Text Sequence Modeling and Deep Learning -- 11 Text Summarization -- 12 Information Extraction -- 13 Opinion Mining and Sentiment Analysis -- 14 Text Segmentation and Event Detection.
Contained By:	Springer eBooks
Subject:	Machine learning. -
Online resource:	http://dx.doi.org/10.1007/978-3-319-73531-3
ISBN:	9783319735313

Machine learning for text
Aggarwal, Charu C.

Machine learning for text[electronic resource] /by Charu C. Aggarwal. - Cham :Springer International Publishing :2018. - xxiii, 493 p. :ill. (some col.), digital ;24 cm.

1 An Introduction to Text Analytics -- 2 Text Preparation and Similarity Computation -- 3 Matrix Factorization and Topic Modeling -- 4 Text Clustering -- 5 Text Classification: Basic Models -- 6 Linear Models for Classification and Regression -- 7 Classifier Performance and Evaluation -- 8 Joint Text Mining with Heterogeneous Data -- 9 Information Retrieval and Search Engines -- 10 Text Sequence Modeling and Deep Learning -- 11 Text Summarization -- 12 Information Extraction -- 13 Opinion Mining and Sentiment Analysis -- 14 Text Segmentation and Event Detection.

ISBN: 9783319735313

Standard No.: 10.1007/978-3-319-73531-3doiSubjects--Topical Terms:

533906
Machine learning.

LC Class. No.: Q325.5

Dewey Class. No.: 006.31

Machine learning for text
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020 $a 9783319735306 $q (paper)
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100 1 $a Aggarwal, Charu C. $3 812147
245 1 0 $a Machine learning for text $h [electronic resource] / $c by Charu C. Aggarwal.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2018.
300 $a xxiii, 493 p. : $b ill. (some col.), digital ; $c 24 cm.
505 0 $a 1 An Introduction to Text Analytics -- 2 Text Preparation and Similarity Computation -- 3 Matrix Factorization and Topic Modeling -- 4 Text Clustering -- 5 Text Classification: Basic Models -- 6 Linear Models for Classification and Regression -- 7 Classifier Performance and Evaluation -- 8 Joint Text Mining with Heterogeneous Data -- 9 Information Retrieval and Search Engines -- 10 Text Sequence Modeling and Deep Learning -- 11 Text Summarization -- 12 Information Extraction -- 13 Opinion Mining and Sentiment Analysis -- 14 Text Segmentation and Event Detection.
650 0 $a Machine learning. $3 533906
650 0 $a Text processing (Computer science) $3 532552
650 1 4 $a Computer Science. $3 626642
650 2 4 $a Information Systems and Communication Service. $3 891044
650 2 4 $a Artificial Intelligence (incl. Robotics) $3 890894
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer eBooks
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-73531-3
950 $a Computer Science (Springer-11645)