基于HITS算法的商务英语文本语域特征研究

Register Features of Business English Text Based on HITS Algorithm

在分析文本语域特征时,由于缺乏对文本信息之间关系的分析,导致特征分析结果的可靠性较低,为此,提出基于HITS算法的商务英语文本语域特征研究。利用HITS算法建立商务英语文本信息之间的链接关系,并借助中心值和权威值对文本中的型符信息和类符信息进行综合表述。在语域特征分析阶段,以最大信息链接关系强度为基础,对信息交互关联性进行归一化处理,根据信息关联强度与对应语域特征子库的匹配程度,实现对商务英语文本语域特征的分析。在测试结果中,设计方法对于语域特征分析的t检验结果表明,其可以实现对文本语域特征的准确分析。

When analyzing text register features,due to the lack of analysis of the correlation between text information,the reliability of feature analysis results is low.Therefore,a research on business English text register features based on HITS algorithm is proposed.The HITS algorithm is used to establish the link relationship between business English text information,and the central value and authoritative value are used to comprehensively express the type information and class information in the text.In the register feature analysis stage,based on the maximum information link relationship strength,the information correlation is normalized.According to the matching degree between the information correlation strength and the corresponding register feature sub base,realize the analysis of register features of business English texts.In the test results,the t-test results of the design method for the analysis of register features show that it can achieve accurate analysis of text register features.