项的权重计算(term weighting)普遍使用的 是 tfidf(term frequency/ inverse document frequency)函数[23],其定义如下: Tr tfidf (t k , d j ) =# (t k , d j ...
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...词 权重计算 句子特征[gap=1430]Key words: thematic word; automatic text summarization; combined word; weight computing; sentence feature...
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Additionally, topic/news representation has two important parts,which are feature extraction and weight calculation.
其中,话题/新闻报道的模型表示又分为特征项提取和权重计算这两个主要部分。
参考来源 - 基于知网和话题更新的话题跟踪算法研究The second, we improved the method of weight computation and we prove it's better than the TFIDF method.
第二,在概念特征的权重计算方面改进了传统的TFIDF算法,并在实验中采用该方法取得了比较好的效果。
参考来源 - 基于概念特征的中文文本分类研究Attacked the problem of feature weighting in two opposite directions.
4.在两个相反方向上对特征权重计算进行了研究。
参考来源 - 中文文本自动分类中的关键问题研究·2,447,543篇论文数据，部分数据来源于NoteExpress
在评价指标权重计算中，引入层次分析法。
Analytic hierarchy procedure (AHP) was used to determine the weighing values for assessment index.
针对群体层次分析法的权重计算问题，采用对数回归法求解。
Aiming at the weight computing problem in the group analytic hierarchy process (AHP), logarithmic regress is adopted.
在这篇论文中，我们提出了一种基于文本集密度的特征词选择与权重计算方案的方法。
In this paper, we will propose a method of feature selection and weighting scheme based on text set density, which is a way of measure of contribution to the text set density about some word.
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