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A comprehensive approach to reviewing latent topics addressed by literature across multiple disciplines

机译:一种全面的方法来审查跨多个学科的文献所涉及的潜在主题

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摘要

This paper proposes an approach to capturing and reviewing scientific literature addressing latent topics across multiple scientific fields. As latent topics like moral values are affected by word polysemy and synonymy, a traditional keyword-based approach is often ineffective and therefore inappropriate. As a result, scientific literature addressing latent topics tends to be fragmented thereby constraining efforts to address similar and complementary research challenges. A novel approach to reviewing the literature by utilizing both semantic fields and probabilistic topic models has therefore been developed. We illustrate this approach by reviewing the literature addressing the value justice in the energy sector and compare this with a regular keyword-based approach. The new approach results in a more complete overview of the relevance of energy justice as compared to the traditional keyword-based approach. This novel approach can be applied to other latent topics including other values or phenomena such as societal resistance to technologies, thereby leading to an increased understanding of existing relevant literature and the identification of new areas of research.
机译:本文提出了一种方法来捕获和审查涉及多个科学领域中潜在主题的科学文献。由于诸如道德价值观之类的潜在主题会受到单词多义和同义词的影响,因此传统的基于关键字的方法通常无效,因此不合适。结果,解决潜在话题的科学文献趋于零散,从而限制了应对相似和互补研究挑战的努力。因此,已经开发出一种通过利用语义领域和概率主题模型来复习文献的新颖方法。我们通过回顾有关能源行业价值正义的文献来说明这种方法,并将其与基于常规关键字的方法进行比较。与传统的基于关键字的方法相比,新方法可更全面地概述能源正义的相关性。这种新颖的方法可以应用于其他潜在主题,包括其他价值或现象,例如社会对技术的抵抗力,从而导致人们对现有相关文献的了解增加,并确定了新的研究领域。

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