Goa University

Sentiment analysis :mining opinions, sentiments, and emotions (Record no. 120567)

MARC details
000 -LEADER
fixed length control field 03686cam a2200337 i 4500
001 - CONTROL NUMBER
control field 18306878
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20160526122404.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 140918s2015 nyu b 001 0 eng
010 ## - LIBRARY OF CONGRESS CONTROL NUMBER
LC control number 2014036113
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781107017894 (hb)
040 ## - CATALOGING SOURCE
Original cataloging agency DLC
Language of cataloging eng
Transcribing agency DLC
Description conventions rda
Modifying agency DLC
042 ## - AUTHENTICATION CODE
Authentication code pcc
050 00 - LIBRARY OF CONGRESS CALL NUMBER
Classification number QA76.9.N38
Item number L58 2015
082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.312 LIU/Sen
Edition number 23
084 ## - OTHER CLASSIFICATION NUMBER
Classification number COM021000
Source of number bisacsh
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Liu, Bing,
Dates associated with a name 1963-
245 10 - TITLE STATEMENT
Title Sentiment analysis :mining opinions, sentiments, and emotions
Remainder of title
Statement of responsibility, etc Bing Liu, University of Illinois at Chicago.
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc New York:
Name of publisher, distributor, etc Cambridge University Press;
Date of publication, distribution, etc 2015
300 ## - PHYSICAL DESCRIPTION
Extent 367 pages ;
Dimensions 25 cm
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc Includes bibliographical references and index.
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note Machine generated contents note: 1. Introduction; 2. The problem of sentiment analysis; 3. Document sentiment classification; 4. Sentence subjectivity and sentiment classification; 5. Aspect sentiment classification; 6. Aspect and entity extraction; 7. Sentiment lexicon generation; 8. Analysis of comparative opinions; 9. Opinion summarization and search; 10. Analysis of debates and comments; 11. Mining intentions; 12. Detecting fake or deceptive opinions; 13. Quality of reviews.
520 ## - SUMMARY, ETC.
Summary, etc "Sentiment analysis is the computational study of people's opinions, sentiments, emotions, and attitudes. This fascinating problem is increasingly important in business and society. It offers numerous research challenges but promises insight useful to anyone interested in opinion analysis and social media analysis. This book gives a comprehensive introduction to the topic from a primarily natural-language-processing point of view to help readers understand the underlying structure of the problem and the language constructs that are commonly used to express opinions and sentiments. It covers all core areas of sentiment analysis, includes many emerging themes, such as debate analysis, intention mining, and fake-opinion detection, and presents computational methods to analyze and summarize opinions. It will be a valuable resource for researchers and practitioners in natural language processing, computer science, management sciences, and the social sciences"--
520 ## - SUMMARY, ETC.
Summary, etc "Opinion and sentiment and their related concepts such as evaluation, appraisal, attitude, affect, emotion and mood are about our subjective feelings and beliefs. They are central to the human psychology and are key influencers of our behaviors. Our beliefs and perceptions of reality, as well as the choices we make, are to a considerable degree conditioned upon how others see and perceive the world. Due to this reason, our views about the world are very much influenced by those of others, and whenever we need to make a decision we often seek out others' opinions. This is not only true for individuals but also true for organizations. From an application point of view, we naturally want to mine people's opinions and feelings toward any subject matter of interest, which is the task of sentiment analysis. More precisely, sentiment analysis, which is also called opinion mining, is a field of study that aims to extract opinions and sentiments from natural language text using computational methods"--
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Natural language processing (Computer science)
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computational linguistics.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Public opinion
General subdivision Data processing.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Data mining.
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element COMPUTERS / Database Management / General.
Source of heading or term bisacsh
906 ## - LOCAL DATA ELEMENT F, LDF (RLIN)
a 7
b cbc
c orignew
d 1
e ecip
f 20
g y-gencatlg
955 ## - COPY-LEVEL INFORMATION (RLIN)
Book number/undivided call number, CCAL (RLIN) rm15 2014-09-18
Copy information and material description, CCAL + MDES (RLIN) rm15 2014-09-18 ONIX
Copy status, CST (RLIN) rm15 2014-09-18 (telework)
Classification number, CCAL (RLIN) rm15 2014-09-18 to Dewey
-- xn13 2015-07-23 1 copy rec'd., to CIP ver.
952 ## - LOCATION AND ITEM INFORMATION (KOHA)
Koha normalized classification for sorting 006_312000000000000_LIUSEN
Koha itemnumber 157193
Holdings
Withdrawn status Lost status Damaged status Not for loan Home library Current library Shelving location Date acquired Total Checkouts Full call number Barcode Date last seen Price effective from Koha item type
        Goa University Library Goa University Library General Stacks 05/26/2016   006.312 LIU/Sen 161461 05/26/2016 05/26/2016 Books

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