基於視覺與語意表徵之迷因現象自動化模式探勘系統發展與評估

Development and Evaluation of Automated Mining System for Visual and Semantic Patterns in Meme Phenomena

許惠琳(HUEI-LIN HSU)

指導教授 ： 陳勇汀

淡江大學/文學院/資訊與圖書館學系碩士班/碩士(2024年)

https://doi.org/10.6846/tku202400673

摘要

本篇摘要未授權

關鍵字

迷因現象 ； 自動化模式探勘 ； 機器學習 ； 深度學習

並列摘要

This abstract would not be displayed due to no authorization.

並列關鍵字

Meme Phenomena ； Automatic Pattern Mining ； Machine Learning ； Deep Learning

參考文獻

Álvarez, A. (2004). Memetics: An Evolutionary Theory of Cultural Transmission. Sorites, 15, 24–28.

Alzu’bi, A., Bani Younis, L., Abuarqoub, A., Hammoudeh, M. (2023). Multimodal Deep Learning with Discriminant Descriptors for Offensive Memes Detection. Journal of Data and Information Quality, 15(3). Scopus. https://doi.org/10.1145/3597308

Amra And Elma LLC. (2022, April 27). TOP HASHTAG FACTS AND STATISTICS IN 2023. Amra Elma. https://www.amraandelma.com/top-hashtag-facts-and-statistics/

Ankerst, M., Breunig, M. M., Kriegel, H.-P., Sander, J. (1999). OPTICS: Ordering points to identify the clustering structure. ACM SIGMOD Record, 28(2), 49–60. https://doi.org/10.1145/304181.304187

Asla, N., Kha, I. U., Albahussai, T. I., Almous, N. F., Alolaya, M. O., Almous, S. A., Alwheb, M. E. (2022). MEDeep: A Deep Learning Based Model for Memotion Analysis. Mathematical Modelling of Engineering Problems, 9(2), 533–538. Scopus. https://doi.org/10.18280/mmep.090232