摘要
在當今網路興起的年代，資訊流動快速，使得網路對於人們的影響力快速增加，也形成了民眾透過網路、平板與手機觀看電視節目或使用社群網站參與節目討論的趨勢，人們可以透過各種社群平台抒發自己對於人事物的觀點與看法，像是網路上可觀看的新聞資訊或討論平台。在這些平台中的文章常涉及到近期發生的事件以及發表自己的言論，這些言論提供我們許多重要的資訊，對於每天不斷更新的事件話題匯集成大量資料的流量，人們被動接受到的新聞大多是討論度較高的新聞，本論文主要使用了集群分析與主題分析找到可能重要的變數，再搭配預測模型進行重要因素的選擇。
並列摘要
In today's era of the rise of the Internet, the rapid flow of information, making the network for the rapid increase in people's influence, has also created a trend of people watching TV programs via the Internet, phone or tablet and use social networking sites to participate in the discussion of the program. People can express their views and opinions on people and things through various social platforms, such as news information or discussion platforms available on the Internet. Articles on these platforms often involve recent events and publish their own comments. These comments provide us with a lot of important information. Regarding the flow of a large amount of data on the constantly updated topic of events every day, most of the news that people receive is discussion For news with a higher degree, this thesis mainly discusses the influence of the degree of news discussion, and what variables are affected by the difference between high and low.
參考文獻
延伸閱讀
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