Kevin Kwan’s Crazy Rich Asians: Opinion Mining and Emotion Detection on Fans’ Comments on Social Media
Yee, Ong Mei; Keikhosrokiani, Pantea; Asl, Moussa Pourya (2023-08-17)
Springer
17.08.2023
Yee, O.M., Keikhosrokiani, P., Asl, M.P. (2023). Kevin Kwan’s Crazy Rich Asians: Opinion Mining and Emotion Detection on Fans’ Comments on Social Media. In: Saeed, F., Mohammed, F., Mohammed, E., Al-Hadhrami, T., Al-Sarem, M. (eds) Advances on Intelligent Computing and Data Science. ICACIn 2022. Lecture Notes on Data Engineering and Communications Technologies, vol 179. Springer, Cham. https://doi.org/10.1007/978-3-031-36258-3_2
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© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG. This version of the article has been accepted for publication, after peer review (when applicable) but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: http://dx.doi.org/[insert DOI]. Use of this Accepted Version is subject to the publisher’s Accepted Manuscript terms of use https://www.springernature.com/gp/open-research/policies/accepted-manuscript-terms
https://rightsstatements.org/vocab/InC/1.0/
© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG. This version of the article has been accepted for publication, after peer review (when applicable) but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: http://dx.doi.org/[insert DOI]. Use of this Accepted Version is subject to the publisher’s Accepted Manuscript terms of use https://www.springernature.com/gp/open-research/policies/accepted-manuscript-terms
https://rightsstatements.org/vocab/InC/1.0/
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:oulu-202312013482
https://urn.fi/URN:NBN:fi:oulu-202312013482
Tiivistelmä
Abstract
The Singapore-born American novelist Kevin Kwan’s Crazy Rich Asians (2013) and its cinematic adaptation have evoked conflicting responses from the public in social media. Analyzing the huge amount of data posted online is an arduous task for literary scholars who use traditional methods to understand readers and viewers’ responses to creative works of art. This study offers a data science approach for opinion mining and detecting embedded emotions in people’s comments. To achieve this goal, a Machine Learning Model Classifier is developed to analyze embedded emotions in public responses to the movie adaptation of Kevin Kwan’s Crazy Rich Asians on YouTube. A total of 41,161 comments posted before or on 27 December 2021 are collected using the YouTube Data API. An emotion classifier with Incremental Learning Approach is built to detect emotions associated with the comments. The built emotion classifier showed accuracy ranging from 84% to 93%. The findings reveal that most of the comments are associated with the emotions of curiosity, love, and surprise.
The Singapore-born American novelist Kevin Kwan’s Crazy Rich Asians (2013) and its cinematic adaptation have evoked conflicting responses from the public in social media. Analyzing the huge amount of data posted online is an arduous task for literary scholars who use traditional methods to understand readers and viewers’ responses to creative works of art. This study offers a data science approach for opinion mining and detecting embedded emotions in people’s comments. To achieve this goal, a Machine Learning Model Classifier is developed to analyze embedded emotions in public responses to the movie adaptation of Kevin Kwan’s Crazy Rich Asians on YouTube. A total of 41,161 comments posted before or on 27 December 2021 are collected using the YouTube Data API. An emotion classifier with Incremental Learning Approach is built to detect emotions associated with the comments. The built emotion classifier showed accuracy ranging from 84% to 93%. The findings reveal that most of the comments are associated with the emotions of curiosity, love, and surprise.
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