Advertisement

Dialogue Modelling in Multi-party Social Media Conversation

  • Subhabrata Dutta
  • Dipankar DasEmail author
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10415)

Abstract

Social Media is a rich source of human-human interactions on exhausting number of topics. Although dialogue modeling from human-human interactions is not new, but there is no previous work as far as our knowledge attempting to model dialogues from social media data. This paper implements and compares multiple supervised and unsupervised approaches for dialogue modelling from social media conversation; each approach exploiting and unfolding special properties of informal conversations in social media. A new frequency measure is proposed especially for text classification problem in these type of data.

Keywords

Dialogue modelling Facebook comment Frequency weight score Sentiment polarity 

References

  1. 1.
    Furui, S.: 50 years of progress in speech and speaker recognition research. ECTI Trans. Comput. Inf. Technol. (ECTI-CIT) 1(2), 64–74 (2005)Google Scholar
  2. 2.
    Purver, M., Griffiths, T.L., Körding, K.P., Tenenbaum, J.B.: Unsupervised topic modelling for multi-party spoken discourse. In: 21st International Conference on Computational Linguistics and the 44th Annual Meeting of the Association for Computational Linguistics, Association for Computational Linguistics, pp. 17–24 (2006)Google Scholar
  3. 3.
    Bickmore, T., Cassell, J.: Social dialongue with embodied conversational agents. In: van Kuppevelt, J.C.J., Dybkær, L., Bernsen, N.O. (eds.) Advances in Natural Multimodal Dialogue Systems, pp. 23–54. Springer, Netherlands (2005). doi: 10.1007/1-4020-3933-6_2 CrossRefGoogle Scholar
  4. 4.
    Perret, J., Afantenos, S., Asher, N., Morey, M.: Integer linear programming for discourse parsing. In: NAACL-HLT, pp. 99–109 (2016)Google Scholar
  5. 5.
    Gandhe, S., Traum, D.: First steps toward dialogue modelling from an un-annotated human-human corpus. In: IJCAI Workshop on Knowledge and Reasoning in Practical Dialogue Systems, Hyderabad, India (2007)Google Scholar
  6. 6.
    Hughes, G.: On the mean accuracy of statistical pattern recognizers. IEEE Trans. Inf. Theor. 14(1), 55–63 (1968)CrossRefGoogle Scholar

Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  1. 1.Jadavpur UniversityKolkataIndia

Personalised recommendations