Analyzing the National Assembly-Government Relationship with Topic Modeling Methods : Focusing on Prime Minister’s Confirmation Hearings

2018 ◽  
Vol 13 (2) ◽  
pp. 5-28
Author(s):  
Inhwan Ko ◽  
◽  
Jungbae An ◽  
Sinjae Kang
Author(s):  
Johannes Ledolter ◽  
Lea VanderVelde

Abstract The Territorial Papers of the United States are a valuable and underused resource containing almost 10,000 documents written between 1789 and 1848 about the formation of new sovereign states from US territory. These communications between the federal government and frontier settlers comprise the actual discourse of the nation’s expansion over six decades. Digitizing the Territorial Papers permits the possibility of analyzing the entire corpus globally. Text mining and topic modeling methods give us a lens on the language patterns through which new state governments and the expanding nation were formed. An initial statistical analysis of the textual information provides a visualization of content, helps discern how ideals about governance emerged, and lays the foundation for developing more sophisticated hypotheses and theoretical constructs.


Author(s):  
Juan Antonio Lossio-Ventura ◽  
Sergio Gonzales ◽  
Juandiego Morzan ◽  
Hugo Alatrista-Salas ◽  
Tina Hernandez-Boussard ◽  
...  

2021 ◽  
Vol 23 ◽  
pp. 100173
Author(s):  
Qiang Fu ◽  
Yufan Zhuang ◽  
Jiaxin Gu ◽  
Yushu Zhu ◽  
Xin Guo

2018 ◽  
Vol 28 (11n12) ◽  
pp. 1559-1574 ◽  
Author(s):  
Zheng Liu ◽  
Chiyu Liu ◽  
Bin Xia ◽  
Tao Li

Understanding contents in social networks by inferring high-quality latent topics from short texts is a significant task in social analysis, which is challenging because social network contents are usually extremely short, noisy and full of informal vocabularies. Due to the lack of sufficient word co-occurrence instances, well-known topic modeling methods such as LDA and LSA cannot uncover high-quality topic structures. Existing research works seek to pool short texts from social networks into pseudo documents or utilize the explicit relations among these short texts such as hashtags in tweets to make classic topic modeling methods work. In this paper, we explore this problem by proposing a topic model for noisy short texts with multiple relations called MRTM (Multiple Relational Topic Modeling). MRTM exploits both explicit and implicit relations by introducing a document-attribute distribution and a two-step random sampling strategy. Extensive experiments, compared with the state-of-the-art topic modeling approaches, demonstrate that MRTM can alleviate the word co-occurrence sparsity and uncover high-quality latent topics from noisy short texts.


2021 ◽  
pp. 002085232098234
Author(s):  
Kilkon Ko ◽  
Hyun Hee Park ◽  
Dong Chul Shim ◽  
Kyungdong Kim

This article empirically explores the understanding and changes in the concept of administrative capacity in the Korean context. Despite a universal consensus on its importance, administrative capacity is defined differently by regimes and stakeholders (i.e. in this study: the public, members of the National Assembly, and academia). To improve our understanding of administrative capacity, we collected three types of texts (337 academic papers, 1470 National Assembly minutes, and 3316 newspaper articles from 2000 to 2019) and analyzed the data using topic modeling and text-network analysis methods. The results suggest that although academic articles emphasized leadership, manpower, education, and other policymaking capacities, the National Assembly stressed innovation capacity in solving different policy problems. Finally, the media, assumed to reflect public opinion, emphasized capacities related to national security. Points for practitioners This study suggests that different types of administrative capacities could be needed according to the developmental stage of states. While managerial and administrative capacity should be developed in countries pursuing state-led economic development, governance capacity could be more requested in countries facing demands for democratization and meeting citizens’ various needs and participation.


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