000 -LEADER |
fixed length control field |
a |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
fixed length control field |
241107b xxu||||| |||| 00| 0 eng d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
International Standard Book Number |
9781108816946 |
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER |
Classification number |
384.33 |
Item number |
CAS |
100 ## - MAIN ENTRY--PERSONAL NAME |
Personal name |
Castillo, Carlos |
245 ## - TITLE STATEMENT |
Title |
Big crisis data : social media in disasters and time-critical situations |
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
Name of publisher, distributor, etc |
Cambridge University Press, |
Date of publication, distribution, etc |
2019 |
Place of publication, distribution, etc |
New York : |
300 ## - PHYSICAL DESCRIPTION |
Extent |
xii, 212 p. ; |
Other physical details |
ill., |
Dimensions |
23 cm. |
365 ## - TRADE PRICE |
Price amount |
2674.00 |
Price type code |
₹ |
Unit of pricing |
01 |
504 ## - BIBLIOGRAPHY, ETC. NOTE |
Bibliography, etc |
Includes bibliographical references and index. |
520 ## - SUMMARY, ETC. |
Summary, etc |
Social media is an invaluable source of time-critical information during a crisis. However, emergency response and humanitarian relief organizations that would like to use this information struggle with an avalanche of social media messages that exceeds human capacity to process. Emergency managers, decision makers, and affected communities can make sense of social media through a combination of machine computation and human compassion - expressed by thousands of digital volunteers who publish, process, and summarize potentially life-saving information. This book brings together computational methods from many disciplines: natural language processing, semantic technologies, data mining, machine learning, network analysis, human-computer interaction, and information visualization, focusing on methods that are commonly used for processing social media messages under time-critical constraints, and offering more than 500 references to in-depth information"-- "Social media is an invaluable source of time-critical information during a crisis. However, emergency response and humanitarian relief organizations that would like to use this information struggle with an avalanche of social media messages that exceeds human capacity to process. Emergency managers, decision makers, and affected communities can make sense of social media through a combination of machine computation and the human compassion expressed by millions of digital volunteers who publish, process, and summarize potentially life-saving information. This book brings together computational methods from many disciplines: natural language processing, semantic technologies, data mining, machine learning, network analysis, human-computer interaction, and information visualization, focusing on methods that are commonly used for processing social media messages under time-critical constraints, and offering more than 450 references to in-depth information |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Data mining |
|
Topical term or geographic name as entry element |
Disaster relief |
|
Topical term or geographic name as entry element |
Citizen participation |
|
Topical term or geographic name as entry element |
Data processing |
|
Topical term or geographic name as entry element |
Emergency management |
|
Topical term or geographic name as entry element |
Online social networks |
|
Topical term or geographic name as entry element |
Choropleth map |
|
Topical term or geographic name as entry element |
Crowdsourcing |
|
Topical term or geographic name as entry element |
Digital volunteering |
|
Topical term or geographic name as entry element |
False discovery rate |
|
Topical term or geographic name as entry element |
Information cascades |
|
Topical term or geographic name as entry element |
Named entity recognition |
|
Topical term or geographic name as entry element |
NaturaLanguage |
|
Topical term or geographic name as entry element |
OpenStreetMap |
|
Topical term or geographic name as entry element |
Social media messages |
|
Topical term or geographic name as entry element |
Tag cloud |
942 ## - ADDED ENTRY ELEMENTS (KOHA) |
Source of classification or shelving scheme |
|
Item type |
Books |