Prominent feature extraction for sentiment analysis. ([2016])
- Record Type:
- Book
- Title:
- Prominent feature extraction for sentiment analysis. ([2016])
- Main Title:
- Prominent feature extraction for sentiment analysis
- Further Information:
- Note: Basant Agarwal, Namita Mittal.
- Authors:
- Agarwal, Basant
Mittal, Namita - Contents:
- Introduction -- Literature Survey -- Machine Learning Approach for Sentiment Analysis -- Semantic Parsing using Dependency Rules -- Sentiment Analysis using ConceptNet Ontology and Context Information -- Semantic Orientation based Approach for Sentiment Analysis -- Conclusions and FutureWork -- References -- Glossary -- Index.
- Publisher Details:
- Cham : Springer
- Publication Date:
- 2016
- Copyright Date:
- 2016
- Extent:
- 1 online resource (xix, 103 pages), illustrations (some color)
- Subjects:
- 006
Medicine
Semantic computing
Data mining
COMPUTERS -- General
Data mining
Semantic computing
Computers -- Document Management
Language Arts & Disciplines -- Linguistics -- General
Computers -- Database Management -- Data Mining
Computers -- Information Technology
Computers -- Data Processing
Desktop publishing
Computational linguistics
Data mining
Information retrieval
Society & social sciences
Neurosciences
Text processing (Computer science)
Computational linguistics
Medical -- Neuroscience
Neurosciences
Electronic books - Languages:
- English
- ISBNs:
- 9783319253435
3319253433
3319253417
9783319253411 - Related ISBNs:
- 9783319253411
- Notes:
- Note: Includes bibliographical references and index.
Note: Online resource; title from PDF title page (SpringerLink, viewed December 30, 2015). - 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.331086
- Ingest File:
- 01_275.xml