Advances in Economics, Management and Political Sciences
- The Open Access Proceedings Series for Conferences
Proceedings of the 7th International Conference on Economic Management and Green Development
Series Vol. 28 , 10 November 2023
Open
Access | Article
How to Find Valuable Stories for Vendors: Case of Murder Mystery Game
* Author to whom correspondence should be addressed.
Abstract
This paper wants to explore how to use game analysis and machine learning techniques to alleviate the information asymmetry for vendors in the murder mystery game industry. Sentiment analysis and game analysis are proposed to extract attributes and opinions from game introductions and reviews, then to propose strategies for selecting more valuable stories. Despite the abundance of genres and the complexity of gameplay, the data information of text and features can still be utilized to build a model for interactive story and form a standardized decision making process. This paper can provide a strategic basis for Software as a service (SaaS) companies that want to enter the related industry, using natural language processing (NLP) techniques to alleviate information asymmetry between upstream and downstream.
Keywords
story games, game analysis, natural language processing
References
1. Ye, Q.: Playwriting, dramatization and its emptiness: Screenplay Killing as a Cultural Phenomenon. China Acedemic Journal. (2021)
2. Poe, E, A.: The Murders in the Rue Morgue. Graham’s Magazine. (1841)
3. Steele, T.: The structure of the detective story: Classical or modern? Modern Fiction Studies, 27(4):555–570, 1981. ISSN 00267724, 1080658X. URL http://www.jstor.org/ stable/26281062 (1981)
4. Cook, M: Generative forensics: Procedural generation and information games. CoRR, abs/2004.01768. (2020)
5. Zhang, L.: Deep learning for sentiment analysis: A survey. Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery. (2018)
6. Peng, H. “Knowing what, how and why: A near complete solution for aspect-based sentiment analysis.” In Proceedings of the AAAI Conference on Artificial Intelligence. Vol. 34. No. 05. 2020. (2020)
7. Aarseth, E.: A Narrative Theory of Games. Center for Computer Games Research. (2012)
8. Juul, J.: Half Real: Video Games between Real Rules and Fictional Worlds. Game Study Wiki.https://gamestudies.fandom.com/wiki/Half_Real:_Video_Games_between_Real_Rules_and_Fictional_Worlds (2005)
9. Wu, Z.: “Grid Tagging Scheme for End-to-End Fine-grained Opinion Extraction.” In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: Findings. (2020)
10. Yu, S. B.: Aspect Sentiment Triplet Extraction Using Reinforcement Learning. CIKM '21: Proceedings of the 30th ACM International Conference on Information & Knowledge Management. (2021)
Data Availability
The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License. Authors who publish this series agree to the following terms:
1. Authors retain copyright and grant the series right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this series.
2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the series's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this series.
3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See Open Access Instruction).
- Volume Title
- Proceedings of the 7th International Conference on Economic Management and Green Development
- ISBN (Print)
- 978-1-83558-077-6
- ISBN (Online)
- 978-1-83558-078-3
- Published Date
- 10 November 2023
- Series
- Advances in Economics, Management and Political Sciences
- ISSN (Print)
- 2754-1169
- ISSN (Online)
- 2754-1177
- DOI
- 10.54254/2754-1169/28/20231310
- Copyright
- 10 November 2023
- Open Access
- This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited