research-article

Fiction Popularity Prediction Based on Emotion Analysis

Authors:

Xing Wang,

Shouhua Zhang,

Ivan SmetannikovAuthors Info & Claims

CCRIS '20: Proceedings of the 2020 1st International Conference on Control, Robotics and Intelligent System

Pages 169 - 175

https://doi.org/10.1145/3437802.3437831

Published: 04 January 2021 Publication History

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Abstract

In addition to bringing us knowledge, books also bring us emotional experiences. How do the emotional fluctuations brought by books affect readers’ evaluation of them? What is the difference in emotional fluctuations between books of different popularity? In this paper, we model and analyse the emotional fluctuations of different fiction books with different popularity and study the feasibility of predicting the popularity of fiction books using emotional fluctuations and recurrent neural networks. A new dataset is also generated to support this research and other related researches. Our proposed method obtained the best accuracy of 73.4% for predicting the popularity of fiction books and 41.4% for predicting genres. Some interesting data insights are also extracted from the dataset.

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Cited By

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Shiota S(2024)Perspective Chapter: Association among Fantasy, Metacognition and Autobiographical Memory in Self-Compassion during Empathy and its Psycho/Neuro/Biological BasisThrough Your Eyes - Research and New Perspectives on Empathy10.5772/intechopen.1004269Online publication date: 18-Apr-2024
https://doi.org/10.5772/intechopen.1004269
Liu QLi HXie CXu KDu YLi XLi YLiu J(2024)Completion of irregular emotion sequence based on users' social relationships and historical emotionsInternational Journal of Parallel, Emergent and Distributed Systems10.1080/17445760.2024.2350688(1-19)Online publication date: 21-May-2024
https://doi.org/10.1080/17445760.2024.2350688
Li YLi SJiang JWei H(2022)Research on Sentiment Analysis in Network Public Opinion – A Case Study of Song PlagiarismProceedings of the 2022 3rd International Conference on Modern Education and Information Management (ICMEIM 2022)10.2991/978-94-6463-044-2_110(886-893)Online publication date: 25-Dec-2022
https://doi.org/10.2991/978-94-6463-044-2_110
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Published In

CCRIS '20: Proceedings of the 2020 1st International Conference on Control, Robotics and Intelligent System

October 2020

217 pages

ISBN:9781450388054

DOI:10.1145/3437802

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Association for Computing Machinery

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Published: 04 January 2021

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CCRIS 2020: 2020 International Conference on Control, Robotics and Intelligent System

October 27 - 29, 2020

Xiamen, China

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Shiota S(2024)Perspective Chapter: Association among Fantasy, Metacognition and Autobiographical Memory in Self-Compassion during Empathy and its Psycho/Neuro/Biological BasisThrough Your Eyes - Research and New Perspectives on Empathy10.5772/intechopen.1004269Online publication date: 18-Apr-2024
https://doi.org/10.5772/intechopen.1004269
Liu QLi HXie CXu KDu YLi XLi YLiu J(2024)Completion of irregular emotion sequence based on users' social relationships and historical emotionsInternational Journal of Parallel, Emergent and Distributed Systems10.1080/17445760.2024.2350688(1-19)Online publication date: 21-May-2024
https://doi.org/10.1080/17445760.2024.2350688
Li YLi SJiang JWei H(2022)Research on Sentiment Analysis in Network Public Opinion – A Case Study of Song PlagiarismProceedings of the 2022 3rd International Conference on Modern Education and Information Management (ICMEIM 2022)10.2991/978-94-6463-044-2_110(886-893)Online publication date: 25-Dec-2022
https://doi.org/10.2991/978-94-6463-044-2_110
Jin JLiu S(2022)An Analysis of the Linguistic Features of Popular Chinese Online Fantasy NovelsDiscourse Processes10.1080/0163853X.2022.202843259:4(326-344)Online publication date: 14-Feb-2022
https://doi.org/10.1080/0163853X.2022.2028432
Sourati Hassan Zadeh ZSabri NChamani HBahrak B(2022)Quantitative analysis of fanfictions’ popularitySocial Network Analysis and Mining10.1007/s13278-021-00854-912:1Online publication date: 7-Mar-2022
https://doi.org/10.1007/s13278-021-00854-9
Arroyo Barrigüete J(2021)La transformación de la ciencia ficción: un análisis cuantitativo del patrón emocional en los premios HugoArtnodes10.7238/artnodes.v0i28.385684Online publication date: 9-Jul-2021
https://doi.org/10.7238/artnodes.v0i28.385684

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Content-based emotion classification in online social networks for Chinese Microblogs

A blog emotion corpus for emotional expression analysis in Chinese

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