@InProceedings{chiru-decea:2017:RANLP,
  author    = {Chiru, Costin  and  Decea, Remus},
  title     = {Identification and Classification of the Most Important Moments in Students’ Collaborative Chats},
  booktitle = {Proceedings of the International Conference Recent Advances in Natural Language Processing, RANLP 2017},
  month     = {September},
  year      = {2017},
  address   = {Varna, Bulgaria},
  publisher = {INCOMA Ltd.},
  pages     = {171--176},
  abstract  = {In this paper, we present an application for the automatic identification of
	the important moments that might occur during students’ collaborative chats.
	The moments are detected based on the input received from the user, who may
	choose to perform an analysis on the topics that interest him/her. Moreover,
	the application offers various types of suggestive and intuitive graphics that
	aid the user in identification of such moments. There are two main aspects that
	are considered when identifying important moments: the concepts' frequency and
	distribution throughout the conversation and the chat tempo, which is analyzed
	for identifying intensively debated concepts. By the tempo of the chat we
	understand the rate at which the ideas are input by the chat participants,
	expressed by the utterances' timestamps.},
  url       = {https://doi.org/10.26615/978-954-452-049-6_024}
}