Early identification of emergent topics is of eminent importance due to their potential impacts on society. There are many methods for detecting emerging terms and topics, all with advantages and drawbacks. However, there is no consensus about the attributes and indicators of emergence. In this study, we evaluate emerging topic detection in the field of artificial intelligence using a new method to evaluate emergence. We also introduce two new attributes of collaboration and technological impact which can help us use both paper and patent information simultaneously. Our results confirm that the proposed new method can successfully identify the emerging topics in the period of the study. Moreover, this new method can provide us with the score of each attribute and a final emergence score, which enable us to rank the emerging topics with their emergence scores and each attribute score.
翻译:早期确定新出现专题具有重大意义,因为它们对社会具有潜在影响,发现新出现术语和专题有许多方法,都具有优缺点。然而,对于新出现属性和指标没有共识。在本研究中,我们利用一种新的方法评估人工智能领域新出现专题的发现情况。我们还引入了两个新的协作和技术影响特征,可以帮助我们同时使用纸面和专利信息。我们的结果证实,拟议的新方法可以成功地确定研究期间的新出现专题。此外,这一新方法可以为我们提供每个属性的分数和最终生成分数,从而使我们能够根据新出现专题的分数和每个属性分数排列新出现专题的分数。