Automatic detection of irony : (Record no. 68331)

000 -LEADER
fixed length control field 03670cam a2200637Ii 4500
001 - CONTROL NUMBER
control field on1123216889
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20220711203147.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 191017s2019 enk ob 001 0 eng d
019 ## -
-- 1225940044
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9781119671183
-- (electronic bk. ;
-- oBook)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 1119671183
-- (electronic bk. ;
-- oBook)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9781119671220
-- (ePub ebook)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 1119671221
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9781119671152
-- (electronic bk.)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 1119671159
-- (electronic bk.)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
-- (print)
029 1# - (OCLC)
OCLC library identifier AU@
System control number 000066234431
029 1# - (OCLC)
OCLC library identifier UKMGB
System control number 019591140
037 ## -
-- 9781119671220
-- Wiley
041 1# - LANGUAGE CODE
Language code of text/sound track or separate title
082 04 - CLASSIFICATION NUMBER
Call Number 006.3/5
100 1# - AUTHOR NAME
Author Karoui, Jihen,
245 10 - TITLE STATEMENT
Title Automatic detection of irony :
Sub Title opinion mining in microblogs and social media /
300 ## - PHYSICAL DESCRIPTION
Number of Pages 1 online resource
490 1# - SERIES STATEMENT
Series statement Cognitive science series
505 0# - FORMATTED CONTENTS NOTE
Remark 2 From Opinion Analysis to Figurative Language Treatment -- Toward Automatic Detection of Figurative Language -- A Multilevel Scheme for Irony Annotation in Social Network Content -- Three Models for Automatic Irony Detection -- Towards a Multilingual System for Automatic Irony Detection -- Conclusion -- Categories of Irony Studied in Linguistic Literature.
520 ## - SUMMARY, ETC.
Summary, etc In recent years, there has been a proliferation of opinion-heavy texts on the Web: opinions of Internet users, comments on social networks, etc. Automating the synthesis of opinions has become crucial to gaining an overview on a given topic. Current automatic systems perform well on classifying the subjective or objective character of a document. However, classifications obtained from polarity analysis remain inconclusive, due to the algorithms' inability to understand the subtleties of human language. Automatic Detection of Irony presents, in three stages, a supervised learning approach to predicting whether a tweet is ironic or not. The book begins by analyzing some everyday examples of irony and presenting a reference corpus. It then develops an automatic irony detection model for French tweets that exploits semantic traits and extralinguistic context. Finally, it presents a study of portability in a multilingual framework (Italian, English, Arabic).
650 #7 - SUBJECT ADDED ENTRY--SUBJECT 1
General subdivision Electronics
-- General.
700 1# - AUTHOR 2
Author 2 Benamara, Farah,
700 1# - AUTHOR 2
Author 2 Moriceau, Véronique,
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://doi.org/10.1002/9781119671183
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks
264 #1 -
-- London, UK :
-- ISTE, Ltd. ;
-- Hoboken, NJ :
-- Wiley,
-- 2019.
336 ## -
-- text
-- txt
-- rdacontent
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-- computer
-- c
-- rdamedia
338 ## -
-- online resource
-- cr
-- rdacarrier
588 0# -
-- Online resource; title from PDF title page (John Wiley, viewed October 17, 2019).
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Natural language processing (Computer science)
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Data mining.
650 #7 - SUBJECT ADDED ENTRY--SUBJECT 1
-- TECHNOLOGY & ENGINEERING
650 #7 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Data mining.
-- (OCoLC)fst00887946
650 #7 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Natural language processing (Computer science)
-- (OCoLC)fst01034365
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-- C0
-- DG1

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