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Investigations in Computational Sarcasm (Record no. 13103)

MARC details
000 -LEADER
fixed length control field	04593nam a22005775i 4500
001 - CONTROL NUMBER
control field	978-981-10-8396-9
003 - CONTROL NUMBER IDENTIFIER
control field	DE-He213
005 - DATE AND TIME OF LATEST TRANSACTION
control field	20211217102515.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field	180316s2018 si \| s \|\|\|\| 0\|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number	9789811083969
040 ## - CATALOGING SOURCE
Transcribing agency	AIKTC-KRRC
041 ## - LANGUAGE CODE
Language code of text/sound track or separate title	ENG
072 #7 - SUBJECT CATEGORY CODE
Subject category code	UYQ
Source	bicssc
072 #7 - SUBJECT CATEGORY CODE
Subject category code	TEC009000
Source	bisacsh
072 #7 - SUBJECT CATEGORY CODE
Subject category code	UYQ
Source	thema
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number	006.3
Edition number	23
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name	Joshi, Aditya.
Relator term	author.
Relator code	aut
--	http://id.loc.gov/vocabulary/relators/aut
245 10 - TITLE STATEMENT
Title	Investigations in Computational Sarcasm
Medium	[electronic resource] /
250 ## - EDITION STATEMENT
Edition statement	1st ed. 2018.
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture	Singapore :
Name of producer, publisher, distributor, manufacturer	Springer Singapore :
--	Imprint: Springer,
Date of production, publication, distribution, manufacture, or copyright notice	2018.
300 ## - PHYSICAL DESCRIPTION
Extent	XII, 143 p. 12 illus., 4 illus. in color.
Other physical details	\| Binding - Card Paper \|
336 ## - CONTENT TYPE
Content type term	text
Content type code	txt
Source	rdacontent
337 ## - MEDIA TYPE
Media type term	computer
Media type code	c
Source	rdamedia
338 ## - CARRIER TYPE
Carrier type term	online resource
Carrier type code	cr
Source	rdacarrier
347 ## - DIGITAL FILE CHARACTERISTICS
File type	text file
Encoding format	PDF
Source	rda
490 1# - SERIES STATEMENT
Series statement	Cognitive Systems Monographs,
International Standard Serial Number	1867-4925 ;
Volume/sequential designation	37
520 ## - SUMMARY, ETC.
Summary, etc.	This book describes the authors’ investigations of computational sarcasm based on the notion of incongruity. In addition, it provides a holistic view of past work in computational sarcasm and the challenges and opportunities that lie ahead. Sarcastic text is a peculiar form of sentiment expression and computational sarcasm refers to computational techniques that process sarcastic text. To first understand the phenomenon of sarcasm, three studies are conducted: (a) how is sarcasm annotation impacted when done by non-native annotators? (b) How is sarcasm annotation impacted when the task is to distinguish between sarcasm and irony? And (c) can targets of sarcasm be identified by humans and computers. Following these studies, the book proposes approaches for two research problems: sarcasm detection and sarcasm generation. To detect sarcasm, incongruity is captured in two ways: ‘intra-textual incongruity’ where the authors look at incongruity within the text to be classified (i.e., target text) and ‘context incongruity’ where the authors incorporate information outside the target text. These approaches use machine-learning techniques such as classifiers, topic models, sequence labelling, and word embeddings. These approaches operate at multiple levels: (a) sentiment incongruity (based on sentiment mixtures), (b) semantic incongruity (based on word embedding distance), (c) language model incongruity (based on unexpected language model), (d) author’s historical context (based on past text by the author), and (e) conversational context (based on cues from the conversation). In the second part of the book, the authors present the first known technique for sarcasm generation, which uses a template-based approach to generate a sarcastic response to user input. This book will prove to be a valuable resource for researchers working on sentiment analysis, especially as applied to automation in social media.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element	Computer Engineering
9 (RLIN)	4622
653 ## - INDEX TERM--UNCONTROLLED
Uncontrolled term	Computational Intelligence.
653 ## - INDEX TERM--UNCONTROLLED
Uncontrolled term	Natural Language Processing (NLP).
653 ## - INDEX TERM--UNCONTROLLED
Uncontrolled term	Signal, Image and Speech Processing.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name	Bhattacharyya, Pushpak.
Relator term	author.
Relator code	aut
--	http://id.loc.gov/vocabulary/relators/aut
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name	Carman, Mark J.
Relator term	author.
Relator code	aut
--	http://id.loc.gov/vocabulary/relators/aut
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element	SpringerLink (Online service)
773 0# - HOST ITEM ENTRY
Title	Springer Nature eBook
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information	Printed edition:
International Standard Book Number	9789811083952
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information	Printed edition:
International Standard Book Number	9789811083976
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information	Printed edition:
International Standard Book Number	9789811341397
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
Uniform title	Cognitive Systems Monographs,
International Standard Serial Number	1867-4925 ;
Volume/sequential designation	37
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier	<a href="https://doi.org/10.1007/978-981-10-8396-9">https://doi.org/10.1007/978-981-10-8396-9</a>
Public note	Click here to access eBook in Springer Nature platform. (Within Campus only.)
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type	eBooks
Source of classification or shelving scheme	Dewey Decimal Classification

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