  Keywords are important for information retrieval. They are used to classify
and sort papers. However, these terms can also be used to study trends within
and across fields. We want to explore the lifecycle of new keywords. How often
do new terms come into existence and how long till they fade out? In this
paper, we present our preliminary analysis where we measure the burstiness of
keywords within the field of AI. We examine 150k keywords in approximately 100k
journal and conference papers. We find that nearly 80\% of the keywords die off
before year one for both journals and conferences but that terms last longer in
journals versus conferences. We also observe time periods of thematic bursts in
AI -- one where the terms are more neuroscience inspired and one more oriented
to computational optimization. This work shows promise of using author keywords
to better understand dynamics of buzz within science.
