A Text-Mining Research Based on LDA Topic Modelling: A Corpus-Based Analysis of Pakistan's UN Assembly Speeches (1970-2018)
A Text-Mining Research Based on LDA Topic Modelling: A Corpus-Based Analysis of Pakistan's UN Assembly Speeches (1970-2018)
复制标题
基于LDA主题建模的文本挖掘研究：基于语料库的巴基斯坦联合国大会演讲（1970-2018）分析
DOI：
10.3366/ijhac.2022.0291
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发表时间：
2022
期刊：
影响因子：
--
通讯作者：
M. Mubeen
中科院分区：
文献类型：
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作者：
S. Khan;Fasih Ahmed;M. Mubeen
联合国大会是一个传达一国贡献或关切的论坛。巴基斯坦作为一个南亚国家，表达了影响巴基斯坦和南亚和平进程的多种关切。因此，至关重要的是要了解这些问题的性质和在大会上提出的偏好。目前的研究是以计算基础理论为基础的，1该理论依赖于意义隐藏在数据中这一事实。这些数据共产生了九个主题。结果显示，对反恐战争的支持、和平与安全、恐怖袭击、国际社会的敦促、核威胁的扩散、威胁繁荣的恐怖主义、经济发展、和平作为国际挑战以及阿富汗和平进程是与巴基斯坦有关的主要问题。分析显示，其中大多数涉及与和平与安全、经济问题和阿富汗问题有关的挑战。调查得出的结论是，阿富汗的优先事项是基于和平与安全、经济发展和阿富汗和平进程。
The UN General Assembly is a forum that conveys a country’s contributions or concerns. Pakistan, being a South Asian country, has echoed multiple concerns that have affected the peace process in Pakistan and South Asia. Hence, it is vital to understand the nature of these issues and the preferences raised at the General Assembly. The present research is underpinned by computational grounded theory, 1 which relies on the fact that meaning is hidden inside data. A total of nine topics emerged from the data. The results reveal that support for the war against terrorism, peace and security, terrorist attacks, the urging of the world community, diffusion of the nuclear threat, terrorism as a threat to prosperity, economic development, peace as an international challenge, and the Afghan peace process are the main issues concerning Pakistan. The analysis reveals that most of these relate to challenges linked to peace and security, economic problems and Afghan issues. The investigation concludes that the nation’s priority-setting is based on peace and security, economic development, and the Afghan peace process.