基于文本特征的企业微博转发效果影响因素研究
摘要
文章从微博内容和转发预测两个角度展开深入分析,以探究微博内容对企业微博的转发情况造成的影响。通过对企业微博的转发情况影响因素进行分析和建立预测模型,揭示了对企业微博转发情况影响较大的特征集合,并通过实验验证了最优特征的有效性,为辅助企业实施微博营销提供了有效途径。
引文
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[8]赵蓉英,曾宪琴,2014.微博信息传播的影响因素研究分析[J].情报理论与实践(3):58-63.
[9]Bolón-Canedo V,Sánchez-Maro觡o N,Alonso-Betanzos A.Feature selection for high-dimensional data[J].Progress in Artificial Intelligence,2016,5(2):65-75.
[2]刘红光,马双刚,刘桂锋,2016.基于机器学习的专利文本分类算法研究综述[J].图书情报研究(3):79-86.
[3]Farid D M,Zhang L,Rahman C M,et al.Hybrid decision tree and na觙ve Bayes classifiers for multi-class classification tasks[J].Expert Systems with Applications An International Journal,2014,41(4):1937-1946.
[4]Farid D M,Rahman M M,Almamuny M A.Efficient and scalable multi-class classification using na觙ve Bayes tree[C].2014.
[5]Jiang L,Li C,Wang S,et al.Deep feature weighting for naive Bayes and its application to text classification[J].Engineering Applications of Artificial Intelligence,2016,52(C):26-39.
[6]Kim E,Sung Y,Kang H.Brand followers'retweeting behavior on Twitter:How brand relationships influence brand electronic word-ofmouth[J].Computers in Human Behavior,2014,37(C):18-25.
[7]Suh B,Hong L,Pirolli P,et al.Want to be Retweeted?Large Scale Analytics on Factors Impacting Retweet in Twitter Network[C].2010.
[8]赵蓉英,曾宪琴,2014.微博信息传播的影响因素研究分析[J].情报理论与实践(3):58-63.
[9]Bolón-Canedo V,Sánchez-Maro觡o N,Alonso-Betanzos A.Feature selection for high-dimensional data[J].Progress in Artificial Intelligence,2016,5(2):65-75.