A practical guide to sentiment analysis (Record no. 33008)

000 -LEADER
fixed length control field a
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 240318b xxu||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9783319553924
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.312
Item number CAM
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Cambria, Erik
Relator term ed.
245 ## - TITLE STATEMENT
Title A practical guide to sentiment analysis
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Name of publisher, distributor, etc Springer,
Date of publication, distribution, etc 2017
Place of publication, distribution, etc Cham :
300 ## - PHYSICAL DESCRIPTION
Extent vii, 196 p. ;
Other physical details ill., (some col.),
Dimensions 24 cm
365 ## - TRADE PRICE
Price amount 149.99
Price type code
Unit of pricing 93.50
490 ## - SERIES STATEMENT
Series statement Socio-affective computing ;
Volume number/sequential designation v5
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc Includes bibliographical references and index.
520 ## - SUMMARY, ETC.
Summary, etc This edited work presents studies and discussions that clarify the challenges and opportunities of sentiment analysis research. While sentiment analysis research has become very popular in the past ten years, most companies and researchers still approach it simply as a polarity detection problem. In reality, sentiment analysis is a 'suitcase problem' that requires tackling many natural language processing subtasks, including microtext analysis, sarcasm detection, anaphora resolution, subjectivity detection and aspect extraction. In this book, the authors propose an overview of the main issues and challenges associated with current sentiment analysis research and provide some insights on practical tools and techniques that can be exploited to both advance the state of the art in all sentiment analysis subtasks and explore new areas in the same context. Readers will discover sentiment mining techniques that can be exploited for the creation and automated upkeep of review and opinion aggregation websites, in which opinionated text and videos are continuously gathered from the Web and not restricted to just product reviews, but also to wider topics such as political issues and brand perception. The book also enables researchers to see how affective computing and sentiment analysis have a great potential as a sub-component technology for other systems. They can enhance the capabilities of customer relationship management and recommendation systems allowing, for example, to find out which features customers are particularly happy about or to exclude from the recommendations items that have received very negative feedbacks. Similarly, they can be exploited for affective tutoring and affective entertainment or for troll filtering and spam detection in online social communication.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computational linguistics
Topical term or geographic name as entry element Information retrieval
Topical term or geographic name as entry element Mathematical and statistical software
Topical term or geographic name as entry element Maths for engineers
Topical term or geographic name as entry element Medical research
Topical term or geographic name as entry element Natural Language Processing
Topical term or geographic name as entry element User interface design and usability
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Das, Dipankar
Relator term ed.
Personal name Bandyopadhyay, Sivaji
Relator term ed.
Personal name Feraco, Antonio
Relator term ed.
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme
Item type Books
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Permanent location Current location Date acquired Cost, normal purchase price Full call number Barcode Date last seen Koha item type
          DAIICT DAIICT 2024-03-15 14024.07 006.312 CAM 034826 2024-03-18 Books

Powered by Koha