  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.
