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    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/97453


    Title: The study of Sensors Market Trends Analysis Based on Social Media
    Authors: Wu, Shiang-hau;Guo, Jiann-jong
    Contributors: 淡江大學中國大陸研究所
    Keywords: Sensors;Twitter;Random forests;AdaBoost algorithm;Text mining;Classification
    Date: 2013-11
    Issue Date: 2014-03-20 09:02:51 (UTC+8)
    Publisher: Toronto: International Frequency Sensor Association
    Abstract: 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.
    Relation: Sensors & Transducers Journal 159(11), pp.374-378
    Appears in Collections:[中國大陸研究所] 期刊論文

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