000 -LEADER |
fixed length control field |
02340cam a2200301Ii 4500 |
003 - CONTROL NUMBER IDENTIFIER |
control field |
jomaaum |
005 - DATE AND TIME OF LATEST TRANSACTION |
control field |
20220107122222.0 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
fixed length control field |
160522t20172017maua b 001 0 eng d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
International Standard Book Number |
9780128044124 |
|
International Standard Book Number |
0128044128 |
050 #4 - LIBRARY OF CONGRESS CALL NUMBER |
Classification number |
QA76.9.N38 |
Item number |
S46 2017 |
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER |
Classification number |
006.35 |
Edition number |
23 |
Item number |
S478 |
245 00 - IMMEDIATE SOURCE OF ACQUISITION NOTE |
Title |
Sentiment analysis in social networks / |
Statement of responsibility, etc |
edited by Federico Alberto Pozzi, Elisabetta Fersini, Enza Messina, Bing Liu. |
260 #1 - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
Place of publication, distribution, etc |
Cambridge, MA : |
Name of publisher, distributor, etc |
Morgan Kaufmann, |
Date of publication, distribution, etc |
2017. |
264 #4 - Publication, Copyright Notice (RDA) |
Date of publication |
©2017. |
300 ## - PHYSICAL DESCRIPTION |
Extent |
xix, 263 p. : |
Other physical details |
ill. ; |
Dimensions |
24 cm. |
504 ## - BIBLIOGRAPHY, ETC. NOTE |
Bibliography, etc |
Includes bibliographical references and indexes. |
505 0# - FORMATTED CONTENTS NOTE |
Formatted contents note |
Challenges of sentiment analysis in social networks: an overview -- Beyond sentiment: how social network analytics can enhance opinion mining and sentiment analysis -- Semantic aspects in sentiment analysis -- Linked data models for sentiment and emotion analysis in social networks -- Sentic computing for social network analysis -- Sentiment analysis in social networks: a machine learning perspective -- Irony, sarcasm, and sentiment analysis -- Suggestion mining from opinionated text -- Opinion spam detection in social networks -- Opinion leader detection -- Opinion summarization and visualization -- Sentiment analysis with SpagoBl -- SOMA: the smart social customer relationship management tool: handling semantic variability of emotion analysis with hybrid technologies -- The human advantage: leveraging the power of predictive analytics to strategically optimize social campaigns -- Price-sensitive ripples and chain reactions: tracking the impact of corporate announcements with real-time multidimensional opinion streaming. |
520 ## - SUMMARY, ETC. |
Summary, etc |
This book explores both semantic and machine learning models and methods that address context-dependent and dynamic text in online social networks, showing how social network streams pose numerous challenges due to their large-scale, short, noisy, context- dependent and dynamic nature. |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Natural language processing (Computer science) |
|
Topical term or geographic name as entry element |
Computational linguistics. |
9 (RLIN) |
11617 |
|
Topical term or geographic name as entry element |
Social networks. |
700 1# - ADDED ENTRY--PERSONAL NAME |
Personal name |
Pozzi, Federico Alberto, |
Relator term |
editor. |
9 (RLIN) |
44892 |
|
Personal name |
Fersini, Elisabetta, |
Relator term |
editor. |
9 (RLIN) |
44893 |
|
Personal name |
Messina, Enza, |
Relator term |
editor. |
9 (RLIN) |
44894 |
|
Personal name |
Liu, Bing, |
Relator term |
editor. |
9 (RLIN) |
44895 |
942 ## - ADDED ENTRY ELEMENTS (KOHA) |
Source of classification or shelving scheme |
|
Item type |
Book |