@InProceedings{tjongkimsang:2016:LT4DH,
  author    = {Tjong Kim Sang, Erik},
  title     = {Finding Rising and Falling Words},
  booktitle = {Proceedings of the Workshop on Language Technology Resources and Tools for Digital Humanities (LT4DH)},
  month     = {December},
  year      = {2016},
  address   = {Osaka, Japan},
  publisher = {The COLING 2016 Organizing Committee},
  pages     = {2--9},
  abstract  = {We examine two different methods for finding rising words (among which
	neologisms) and falling words (among which archaisms) in decades of magazine
	texts (millions of words) and in years of tweets (billions of words): one based
	on correlation coefficients of relative frequencies and time, and one based on
	comparing initial and final word frequencies of time intervals. We find that
	smoothing frequency scores improves the precision scores of both methods and
	that the correlation coefficients perform better on magazine text but worse on
	tweets. Since the two ranking methods find different words they can be used in
	side-by-side to study the behavior of words over time.},
  url       = {http://aclweb.org/anthology/W16-4002}
}