| 題名: | The Utilization of Big Data Analytics and Algorithm Adjustment on Artificial Intelligence Discussions in Taiwan |
| 作者: | Wang, Huai-Shyuan |
| 貢獻者: | Department of Mass Communication |
| 關鍵詞: | Data algorithm
Data analytics
Hidden information
Market changes
Marketing strategy
Marketing trends
Predictive accuracy
Public opinions
Data accuracy |
| 日期: | 2024 |
| 上傳時間: | 2025-03-11 11:23:17 (UTC+8) |
| 出版者: | Institution of Engineering and Technology |
| 摘要: | Utilizing big data analytics to predict trends has become an important process in developing marketing strategies. However, the accuracy of big data analytics in predicting results is still a matter of debate. This research employed media big data analytics to measure public opinion on discussions about artificial intelligence (AI), and its impact on stock market changes. It is suggested that big data analytics platforms can be used to identify trending issues and uncover hidden information about marketing trends. However, while big data analytics can be valuable, the algorithms need to be refined to improve their predictive accuracy. |
| 關聯: | IET Conference Proceedings, 2024(22), 51-52 |
| 顯示於類別: | [大眾傳播學系] 會議論文
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