Purpose:This paper presents a new semi-automatic methodology for identifying inter-actor relationships by discerning viewpoints in non-social,political textual corpora.Although previous research has successfully disce...Purpose:This paper presents a new semi-automatic methodology for identifying inter-actor relationships by discerning viewpoints in non-social,political textual corpora.Although previous research has successfully discerned viewpoints,biases,and affiliations based on textual features,the task of relationship analysis in the absence of interactional data remains unaddressed.Design/methodology/approach:We introduce a new paradigm for topic representation as a dynamic,continuous,multi-viewpoint spectrum based on the representation of viewpoints as vectors that capture common topical themes.As a proof of concept,we applied this paradigm to scrutinize the inter-state relationships reflected in the speeches of the UN General Assembly Debate Corpus(UNGDC).Findings:The proposed paradigm effectively identifies discursive trends in UNGDC.Our analysis reveals common attitudes towards the topic and their prominence among different groups of actors and facilitates the analysis of relationships between actors through a quantitative representation of viewpoint similarity.The method also successfully captured temporal shifts in viewpoints and overall discourse trends,correlating with major geopolitical events.Research limitations:One limitation of this study is the method’s sensitivity to data sparsity,which can skew viewpoint representations in cases of low topic involvement.Practical implications:The proposed paradigm can be utilized by scholars in political science and other domains as a tool for semi-automated unsupervised textual analysis of various non-social textual sources,enabling the discovery of latent relationships between actors and the modeling of viewpoints in complex topics.Originality/value:This study presents a novel framework for unsupervised semi-automatic textual analysis of relationships in non-social corpora through a new approach for the representation of viewpoints as thematic vectors.展开更多
在工业行业积极开展数字化能力建设的背景下,以总体架构理论方法指导工业核心能力建设的必要性,研究提出工业核心能力建设架构的概念内涵和4方面模型要素,借鉴国际主流的DoDAF(department of defense architecture framework)体系结构框...在工业行业积极开展数字化能力建设的背景下,以总体架构理论方法指导工业核心能力建设的必要性,研究提出工业核心能力建设架构的概念内涵和4方面模型要素,借鉴国际主流的DoDAF(department of defense architecture framework)体系结构框架,开展工业核心能力建设架构模型总体设计,基于系统工程的思想,设计能力建设过程5个阶段业务活动,融入架构模型中能力/业务/应用/数据/技术等视角,形成工业核心能力建设架构建模的参考流程,详细阐述数据模型设计以及各类表现视角的逻辑构成和建模方法,选取某行业建设项目,开展工业核心能力建设架构建模方法的应用实践。展开更多
基金part of the research project “What Are States Talking About?”(ISF Grant 2109/19),funded by the Israeli Science Foundation。
文摘Purpose:This paper presents a new semi-automatic methodology for identifying inter-actor relationships by discerning viewpoints in non-social,political textual corpora.Although previous research has successfully discerned viewpoints,biases,and affiliations based on textual features,the task of relationship analysis in the absence of interactional data remains unaddressed.Design/methodology/approach:We introduce a new paradigm for topic representation as a dynamic,continuous,multi-viewpoint spectrum based on the representation of viewpoints as vectors that capture common topical themes.As a proof of concept,we applied this paradigm to scrutinize the inter-state relationships reflected in the speeches of the UN General Assembly Debate Corpus(UNGDC).Findings:The proposed paradigm effectively identifies discursive trends in UNGDC.Our analysis reveals common attitudes towards the topic and their prominence among different groups of actors and facilitates the analysis of relationships between actors through a quantitative representation of viewpoint similarity.The method also successfully captured temporal shifts in viewpoints and overall discourse trends,correlating with major geopolitical events.Research limitations:One limitation of this study is the method’s sensitivity to data sparsity,which can skew viewpoint representations in cases of low topic involvement.Practical implications:The proposed paradigm can be utilized by scholars in political science and other domains as a tool for semi-automated unsupervised textual analysis of various non-social textual sources,enabling the discovery of latent relationships between actors and the modeling of viewpoints in complex topics.Originality/value:This study presents a novel framework for unsupervised semi-automatic textual analysis of relationships in non-social corpora through a new approach for the representation of viewpoints as thematic vectors.
文摘在工业行业积极开展数字化能力建设的背景下,以总体架构理论方法指导工业核心能力建设的必要性,研究提出工业核心能力建设架构的概念内涵和4方面模型要素,借鉴国际主流的DoDAF(department of defense architecture framework)体系结构框架,开展工业核心能力建设架构模型总体设计,基于系统工程的思想,设计能力建设过程5个阶段业务活动,融入架构模型中能力/业务/应用/数据/技术等视角,形成工业核心能力建设架构建模的参考流程,详细阐述数据模型设计以及各类表现视角的逻辑构成和建模方法,选取某行业建设项目,开展工业核心能力建设架构建模方法的应用实践。
