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    题名: The study of Sensors Market Trends Analysis Based on Social Media
    作者: Wu, Shiang-hau;Guo, Jiann-jong
    贡献者: 淡江大學中國大陸研究所
    关键词: Sensors;Twitter;Random forests;AdaBoost algorithm;Text mining;Classification
    日期: 2013-11
    上传时间: 2014-03-20 09:02:51 (UTC+8)
    出版者: Toronto: International Frequency Sensor Association
    摘要: The study aimed at analyzing the sensors related tweets on twitter in order to comprehend the market trend. The contribution of the study included the following two points. First, the study used the text mining method in order to explore the content of sensors related tweets. Second, the study applied the classification analysis to explore the relationship of the keywords.
    關聯: Sensors & Transducers Journal 159(11), pp.374-378
    显示于类别:[中國大陸研究所] 期刊論文

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