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A practical guide to sentiment analysis [electronic resource]

A practical guide to sentiment analysis [electronic resource]

Material type
E-Book(소장)
Personal Author
Cambria, Erik.
Title Statement
A practical guide to sentiment analysis [electronic resource] / Erik Cambria ... [et al.], editors.
Publication, Distribution, etc
Cham :   Springer,   c2017.  
Physical Medium
1 online resource (vii, 196 p.) : ill. (some col.).
Series Statement
Socio-Affective Computing,2509-5706, 2509-5714 (electronic) ; 5
ISBN
9783319553924 9783319553948 (e-book)
요약
This edited work presents studies and discussions that clarify the challenges and opportunities of sentiment analysis research. While sentiment analysis research has become very popular in the past ten years, most companies and researchers still approach it simply as a polarity detection problem. In reality, sentiment analysis is a ‘suitcase problem’ that requires tackling many natural language processing subtasks, including microtext analysis, sarcasm detection, anaphora resolution, subjectivity detection and aspect extraction.   In this book, the authors propose an overview of the main issues and challenges associated with current sentiment analysis research and provide some insights on practical tools and techniques that can be exploited to both advance the state of the art in all sentiment analysis subtasks and explore new areas in the same context. Readers will discover sentiment mining techniques that can be exploited for the creation and automated upkeep of review and opinion aggregation websites, in which opinionated text and videos are continuously gathered from the Web and not restricted to just product reviews, but also to wider topics such as political issues and brand perception. The book also enables researchers to see how affective computing and sentiment analysis have a great potential as a sub-component technology for other systems. They can enhance the capabilities of customer relationship management and recommendation systems allowing, for example, to find out which features customers are particularly happy about or to exclude from the recommendations items that have received very negative feedbacks. Similarly, they can be exploited for affective tutoring and affective entertainment or for troll filtering and spam detection in online social communication.
General Note
Title from e-Book title page.  
Content Notes
Preface -- Affective Computing and Sentiment Analysis -- Many Facets of Sentiment Analysis -- Reflections on Sentiment/Opinion Analysis -- Challenges in Sentiment Analysis --  Sentiment Resources: Lexicons and Datasets -- Generative Models for Sentiment Analysis and Opinion Mining -- Social Media Summarization -- Deception Detection and Opinion Spam -- Concept-Level Sentiment Analysis with SenticNet -- Index.
Bibliography, Etc. Note
Includes bibliographical references and index.
이용가능한 다른형태자료
Issued also as a book.  
Subject Added Entry-Topical Term
Medicine. Information storage and retrieva. Applied linguistics. Engineering mathematics. Computer science. Mathematical statistics.
Short cut
URL
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020 ▼a 9783319553924
020 ▼a 9783319553948 (e-book)
040 ▼a 211009 ▼c 211009 ▼d 211009
050 4 ▼a R-RZ
082 0 4 ▼a 006.312 ▼2 23
084 ▼a 006.312 ▼2 DDCK
090 ▼a 006.312
245 0 2 ▼a A practical guide to sentiment analysis ▼h [electronic resource] / ▼c Erik Cambria ... [et al.], editors.
260 ▼a Cham : ▼b Springer, ▼c c2017.
300 ▼a 1 online resource (vii, 196 p.) : ▼b ill. (some col.).
490 1 ▼a Socio-Affective Computing, ▼x 2509-5706, ▼x 2509-5714 (electronic) ; ▼v 5
500 ▼a Title from e-Book title page.
504 ▼a Includes bibliographical references and index.
505 0 ▼a Preface -- Affective Computing and Sentiment Analysis -- Many Facets of Sentiment Analysis -- Reflections on Sentiment/Opinion Analysis -- Challenges in Sentiment Analysis --  Sentiment Resources: Lexicons and Datasets -- Generative Models for Sentiment Analysis and Opinion Mining -- Social Media Summarization -- Deception Detection and Opinion Spam -- Concept-Level Sentiment Analysis with SenticNet -- Index.
520 ▼a This edited work presents studies and discussions that clarify the challenges and opportunities of sentiment analysis research. While sentiment analysis research has become very popular in the past ten years, most companies and researchers still approach it simply as a polarity detection problem. In reality, sentiment analysis is a ‘suitcase problem’ that requires tackling many natural language processing subtasks, including microtext analysis, sarcasm detection, anaphora resolution, subjectivity detection and aspect extraction.   In this book, the authors propose an overview of the main issues and challenges associated with current sentiment analysis research and provide some insights on practical tools and techniques that can be exploited to both advance the state of the art in all sentiment analysis subtasks and explore new areas in the same context. Readers will discover sentiment mining techniques that can be exploited for the creation and automated upkeep of review and opinion aggregation websites, in which opinionated text and videos are continuously gathered from the Web and not restricted to just product reviews, but also to wider topics such as political issues and brand perception. The book also enables researchers to see how affective computing and sentiment analysis have a great potential as a sub-component technology for other systems. They can enhance the capabilities of customer relationship management and recommendation systems allowing, for example, to find out which features customers are particularly happy about or to exclude from the recommendations items that have received very negative feedbacks. Similarly, they can be exploited for affective tutoring and affective entertainment or for troll filtering and spam detection in online social communication.
530 ▼a Issued also as a book.
538 ▼a Mode of access: World Wide Web.
650 0 ▼a Medicine.
650 0 ▼a Information storage and retrieva.
650 0 ▼a Applied linguistics.
650 0 ▼a Engineering mathematics.
650 0 ▼a Computer science.
650 0 ▼a Mathematical statistics.
700 1 ▼a Cambria, Erik.
830 0 ▼a Socio-Affective Computing ; ▼v 5.
856 4 0 ▼u https://oca.korea.ac.kr/link.n2s?url=https://doi.org/10.1007/978-3-319-55394-8
945 ▼a KLPA
991 ▼a E-Book(소장)

Holdings Information

No. Location Call Number Accession No. Availability Due Date Make a Reservation Service
No. 1 Location Main Library/e-Book Collection/ Call Number CR 006.312 Accession No. E14018459 Availability Loan can not(reference room) Due Date Make a Reservation Service M

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