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    Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/122270


    Title: 以人工智慧方法預測Youtube趨勢影片
    Using artificial intelligence to predict Youtube trending video
    Authors: 支向理
    Chih, Hsiang-Li
    Contributors: 謝明華
    支向理
    Chih, Hsiang-Li
    Keywords: 人工智慧
    機器學習
    線上影音
    Machine-learning
    AI
    Youtube
    Date: 2019
    Issue Date: 2019-02-12 15:44:00 (UTC+8)
    Abstract: 本研究採用機器學習之迴歸預測方法,以資料科學競賽平台Kaggle所提估之公開資料集,建立預測線上影音網站Youtube趨勢(熱門)影片上榜天數的預測模型。第一次訓練先使用原資料集之四個數值變數(累計瀏覽人數、累計按喜歡數、累計按不喜歡數、累計評論數)建構模型,第二次訓練透過Python中自然語言處理的情感分析方法,將影片敘述欄位轉化為數值的正面及負面情緒分數,以加入迴歸模型之新變數進行分析,第三次訓練則將原資料集影片分類的欄位透過scikit-learn中的One-Hot-Encoder工具將類別變數轉為數值變數加入模型,三次訓練皆以線性迴歸、決策樹、隨機森林三種學習方法比較預測效果,最終以隨機森林模型效果最佳。
    Reference: 中文文獻
    資誠聯合會計師事務所(民106年6月7日)。2017 全球與臺灣娛樂暨媒體業展望報告。取自:https://www.pwc.tw/zh/news/press-release/press-20170607.html
    創市際雙週刊第七十一期(民105年9月19日)。影音網站調查與台灣影音
    相關網站使用概況。取自:http://www.ixresearch.com/wp-content/uploads/report/InsightXplorer%20Biweekly%20Report_20160919.pdf

    英文文獻
    Bird, S., Klein, E., & Loper, E. (2009). Natural language processing with Python: analyzing text with the natural language toolkit. " O`Reilly Media, Inc.".
    Chui, M., & Francisco, S. (2017). Artificial intelligence the next digital frontier?. McKinsey and Company Global Institute, 47.
    Géron, A. (2017). Hands-on machine learning with Scikit-Learn and TensorFlow: concepts, tools, and techniques to build intelligent systems. " O`Reilly Media, Inc.".
    PwC. (2018). Global Entertainment & Media Outlook 2018–2022. Retrieved from https://www.pwc.com/gx/en/industries/tmt/media/outlook.html
    Russell, S. J., & Norvig, P. (2016). Artificial intelligence: a modern approach. Malaysia; Pearson Education Limited,.
    Shalev-Shwartz, S., & Ben-David, S. (2014). Understanding machine learning: From theory to algorithms. Cambridge university press.
    Towards Data Science. (2018). Top AI and Machine Learning Trends in Media and Entertainment. Retrieved from https://towardsdatascience.com/top-ai-and-machine-learning-trends-in-media-and-entertainment-823f7efea928
    Description: 碩士
    國立政治大學
    經營管理碩士學程(EMBA)
    105932415
    Source URI: http://thesis.lib.nccu.edu.tw/record/#G0105932415
    Data Type: thesis
    DOI: 10.6814/THE.NCCU.EMBA.028.2019.F08
    Appears in Collections:[經營管理碩士學程EMBA] 學位論文

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