基于人工智能的通信服务网络独立语义特征抽取算法  

An Independent Semantic Feature Extraction Algorithm for Communication Service Networks Based on Artificial Intelligence

作　　者：杨军[1] YANG Jun(Beijng Institution of Economics and Management,Beijing 102602,China)

机构地区：[1]北京经济管理职业学院,北京102602

出　　处：《自动化与仪器仪表》2024年第10期52-55,共4页Automation & Instrumentation

摘　　要：以实现对数据的深度理解和智能化处理,改善通信服务的质量和效率为目的,提出基于人工智能的通信服务网络独立语义特征抽取算法。该算法使用“特征降维”文本复杂网络的方式,对通信服务网络独立语义进行描述,建立通信服务网络独立语义“特征降维”文本复杂网络,然后对该网络进行数据块切分,并复杂细微差异化特征信号模型,使用该模型将通信服务网络独立语义“特征降维”文本复杂网络转换成信号向量,将其作为输入,使用人工智能算法中的LSTM网络模型输出通信服务网络独立语义特征抽取结果。实验表明:该算法获取通信服务网络文本三级特征词条能力较强,可有效建立通信服务网络独立语义“特征降维”文本复杂网络,并可准确抽取通信服务网络文本内的反义词关系语义特征,应用效果较佳。With the aim of achieving deep understanding and intelligent processing of data,improving the quality and efficiency of communication services,an AI based independent semantic feature extraction algorithm for communication service networks is proposed.This algorithm employs the method of’feature dimensionality reduction’text complex network to depict the independent semantics of the communication service network.It establishes an independent semantic’feature dimensionality reduction’text complex network model for the communication service network,subsequently performs data block segmentation on this network,and then develops complex subtle differentiation feature signal models based on the segmented data blocks.Using this model,the independent semantic“feature dimensionality reduction”text complex network of the communication service network is transformed into signal vectors,which are used as inputs.The LSTM network model in the artificial intelligence algorithm is used to output the independent semantic feature extraction results of the communication service network.The experiment shows that the algorithm has a strong ability to obtain the three-level feature entries of communication service network text,and can effectively establish an independent semantic“feature dimensionality reduction”text complex network of communication service network.It can accurately extract the semantic features of antonym relationships within the text of communication service network,and the application effect is good.

关 键 词：人工智能 通信服务网络 独立语义 特征抽取 特征降维 信号模型 

分 类 号：G254.9[文化科学—图书馆学] TP39[自动化与计算机技术—计算机应用技术]