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    題名: The Study of Sensors Market Trends Analysis Based on Social Media
    作者: Wu, Shiang-hau;Guo, Jiann-jong
    關鍵詞: Sensors;Twitter;Random forests;AdaBoost algorithm;Text mining;Classification
    日期: 2013-11-20
    上傳時間: 2016-01-06 11:26:37 (UTC+8)
    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 159(11), pp.374-378
    顯示於類別:[中國大陸研究所] 期刊論文

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