國立虎尾科技大學 |

Language: English

Back

Machine learning for text

SpringerLink (Online service)

Machine learning for text

Record Type:	Language materials, printed : 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.;
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:

561253
Machine learning.

LC Class. No.: Q325.5

Dewey Class. No.: 006.31

Machine learning for text
LDR:01496nam a2200313 a 4500 001 924700
003 DE-He213
005 20180319193436.0
006 m d
007 cr nn 008maaau
008 190625s2018 gw s 0 eng d
020 $a 9783319735313 $q (electronic bk.)
020 $a 9783319735306 $q (paper)
024 7 $a 10.1007/978-3-319-73531-3 $2 doi
035 $a 978-3-319-73531-3
040 $a GP $c GP
041 0 $a eng
050 4 $a Q325.5
072 7 $a UT $2 bicssc
072 7 $a COM069000 $2 bisacsh
072 7 $a COM032000 $2 bisacsh
082 0 4 $a 006.31 $2 23
090 $a Q325.5 $b .A266 2018
100 1 $a Aggarwal, Charu C. $3 681062
245 1 0 $a Machine learning for text $h [electronic resource] / $c by Charu C. Aggarwal.
260 $a Cham : $c 2018. $b Springer International Publishing : $b Imprint: Springer,
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 561253
650 0 $a Text processing (Computer science) $3 528615
650 1 4 $a Computer Science. $3 593922
650 2 4 $a Information Systems and Communication Service. $3 669203
650 2 4 $a Artificial Intelligence (incl. Robotics) $3 593924
710 2 $a SpringerLink (Online service) $3 593884
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)

based on 0 review(s)

Multimedia

Reviews

Add a review and share your thoughts with other readers

Export

pickup library