Machine learning for text. (2018)
- Record Type:
- Book
- Title:
- Machine learning for text. (2018)
- Main Title:
- Machine learning for text
- Further Information:
- Note: Charu C. Aggarwal.
- Authors:
- Aggarwal, Charu C
- Contents:
- 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.
- Publisher Details:
- Cham, Switzerland : Springer
- Publication Date:
- 2018
- Extent:
- 1 online resource (xxiii, 493 pages), illustrations (some color)
- Subjects:
- 006.3/1
Computer science
Machine learning
Text processing (Computer science)
Machine learning
Text processing (Computer science)
Computer Science
Data Mining and Knowledge Discovery
Artificial Intelligence (incl. Robotics)
Computers -- Intelligence (AI) & Semantics
Artificial intelligence
Data mining
Artificial intelligence
Computers -- Database Management -- Data Mining
Data mining
Electronic books - Languages:
- English
- ISBNs:
- 9783319735313
3319735314 - Related ISBNs:
- 9783319735306
3319735306 - Notes:
- Note: Includes bibliographical references and index.
Note: Online resource; title from PDF title page (SpringerLink, viewed March 30, 2018). - Access Rights:
- Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
- Access Usage:
- Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD.DS.367019
- Ingest File:
- 01_342.xml