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Opinion Mining and Text Analytics on Literary Works and Social Media [Kõva köide]

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  • Formaat: Hardback, 330 pages, kaal: 633 g
  • Sari: e-Book Collection - Copyright 2022
  • Ilmumisaeg: 18-Feb-2022
  • Kirjastus: Business Science Reference
  • ISBN-10: 1799895947
  • ISBN-13: 9781799895947
Teised raamatud teemal:
Opinion Mining and Text Analytics on Literary Works and Social MediaSuurem pilt
  • Formaat: Hardback, 330 pages, kaal: 633 g
  • Sari: e-Book Collection - Copyright 2022
  • Ilmumisaeg: 18-Feb-2022
  • Kirjastus: Business Science Reference
  • ISBN-10: 1799895947
  • ISBN-13: 9781799895947
Teised raamatud teemal:
Püsilink: https://www.kriso.ee/db/9781799895947.html
Märksõnad:
Opinion Mining and Text Analytics on Literary Works and Social Media introduces the use of artificial intelligence and big data analytics techniques which can apply opinion mining and text analytics on literary works and social media. This book focuses on theories, method and approaches in which data analytic techniques can be used to analyze data from social media, literary books, novels, news, texts, and beyond to provide a meaningful pattern.

The subject area of this book is multidisciplinary; related to data science, artificial intelligence, social science and humanities, and literature. This is an essential resource for scholars, Students and lecturers from various fields of data science, artificial intelligence, social science and humanities, and literature, university libraries, new agencies, and many more.
Preface xvii
Section 1 Reviews, Techniques, and Approaches
Chapter 1 Review on the Application of Lexicon-Based Political Sentiment Analysis in Social Media
1(21)
David Valle-Cruz
Asdrubal Lopez-Chau
Rodrigo Sandoval-Almazan
Chapter 2 Text Mining and Pre-Processing Methods for Social Media Data Extraction and Processing
22(32)
Santoshi Kumari
Chapter 3 A Review of Text Analytics Using Machine Learning
54(16)
Ajaypradeep Natarajsivam
Sasikala R.
Chapter 4 Improving Comparative Opinion Mining Through Detection of Support Sentences
70(33)
Teck Keat Yeow
Keng Hoon Gan
Chapter 5 Features of Semantic Similarity Assessment: Content- and Model-Based Perspectives
103(29)
Vijayarani J.
Geetha T. V.
Chapter 6 A Topic Modeling-Guided Framework for Aspect-Oriented Sentiment Analysis on Social Media
132(16)
Nikhil V. Chandran
Anoop V. S.
Asharaf S.
Section 2 Opinion Mining and Literary Studies
Chapter 7 What Is Love? Text Analytics on Romance Literature From the Perspective of Authors
148(25)
Chuu Htet Naing
Xian Zhao
Keng Hoon Gan
Nur-Hana Samsudin
Chapter 8 Text Analytics Model to Identify the Connection Between Theme and Sentiment in Literary Works: A Case Study of Iraqi Life Writings
173(18)
Nurul Najiha Jafery
Pantea Keikhosrokiani
Moussa Pourya Asl
Chapter 9 Opinion Mining and Text Analytics of Literary Reader Responses: A Case Study of Reader Responses to KL Noir Volumes in Goodreads Using Sentiment Analysis and Topic
191(49)
Nikmatul Husna Binti Suhendra
Pantea Keikhosrokiani
Moussa Pourya Asl
Xian Zhao
Chapter 10 Opinion Mining and Text Analytics of Reader Reviews of Yoko Ogawa's The Housekeeper and the Professor in Goodreads
240(23)
Nurfatin Binti Sofian
Pantea Keikhosrokiani
Moussa Pourya Asl
Chapter 11 Sentiment Analysis of the Harry Potter Series Using a Lexicon-Based Approach
263(30)
Md Habib Al Mamun
Pantea Keikhosrokiani
Moussa Pourya Asl
NurAin Nasuha Anuar
Nurfarah Hadira Abdul Hadi
Thasnim Humida
Section 3 Opinion Mining and Social Media
Chapter 12 Threat Emotion Analysis in Social Media: Considering Armed Conflicts as Social Extreme Events
293(30)
Marilyn Minicucci Ibanez
Reinaldo Roberto Rosa
Chapter 13 Depression Detection in Online Social Media Users Using Natural Language Processing Techniques
323(25)
Haseeb Ahmad
Faiza Nasir
C. M. Nadeem Faisal
Shahbaz Ahmad
Chapter 14 Assessing Together the Trends in Newspaper Topics and User Opinions: A Co-Evolutionary Approach
348(23)
Elise Noga-Hartmann
Dimitris Kotzinos
Chapter 15 Sentiment Analysis and Stance Detection in Turkish Tweets About COVID-19 Vaccination
371(17)
Dogan Kucuk
Nursal Ariel
Chapter 16 Teleworker Experiences in #COVID-19: Insights Through Sentiment Analysis in Social Media
388(25)
Rigoberto Garcia-Contreras
J. Patricia Munoz-Chavez
David Valle-Cruz
Asdrubal Lopez-Chau
Compilation of References 413(40)
About the Contributors 453(7)
Index 460
Pantea Keikhosrokiani, School of Computer Sciences, Universiti Sains Malaysia, Malaysia

Moussa Pourya Asl, School of Humanities, Universiti Sains Malaysia, Malaysia