Skip to main content

Quantitative Analysis of Chat Participants’ Involvement

  • Chapter
  • 1471 Accesses

Part of the book series: Studies in Computational Intelligence ((SCI,volume 534))

Abstract

The first experiments were performed with A.S.A.P. (Dascalu et al. 2008a, b) (see Table 9) whose purpose was to discover the most competent user in a chat using several analysis factors, starting with the simplest, such as the dimension of utterances, and ending with pragmatics issues such as speech acts (Austin 1962; Searle 1969; Trausan-Matu et al. 2004) and even social aspects of interaction between conversation participants (see 3.2 Social Network Analysis).

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD   109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  • Anderson, J.R.: Cognitive psychology and its implications. Freeman, New York (1985)

    Google Scholar 

  • Austin, J.L.: How to Do Things With Words. Harvard University Press, Cambridge (1962)

    Google Scholar 

  • Brandes, U.: A Faster Algorithm for Betweenness Centrality. Journal of Mathematical Sociology 25(2), 163–177 (2001)

    Article  MATH  Google Scholar 

  • Brown, J.D.: An EFL readability index. JALT Journal 20(2), 7–36 (1998)

    Google Scholar 

  • Collins, M.: Discriminative training methods for hidden Markov models: theory and experiments with perceptron algorithms. In: EMNLP 2002 -ACL 2002 Conference on Empirical Methods in Natural Language Processing, pp. 1–8. ACL, Philadelphia (2002)

    Chapter  Google Scholar 

  • Cormen, T.H., Leiserson, C.E., Rivest, R.L., Stein, C. (eds.): Introduction to Algorithms, 3rd edn. MIT Press, Cambridge (2009)

    MATH  Google Scholar 

  • Dascalu, M., Chioasca, E.-V., Trausan-Matu, S.: ASAP – An Advanced System for Assessing Chat Participants. In: Dochev, D., Pistore, M., Traverso, P. (eds.) AIMSA 2008. LNCS (LNAI), vol. 5253, pp. 58–68. Springer, Heidelberg (2008)

    Chapter  Google Scholar 

  • Dascalu, M., Chioasca, E.V., Trausan-Matu, S.: ASAP – Sistem avansat de evaluare a participantilor la un chat. Revista Romana de Interactiune Om-Calculator 1(3), 105–112 (2008b)

    Google Scholar 

  • Dascalu, M., Trausan-Matu, S.: Ch.A.M.P. – A Program for Chat Modelling and Assesment. Annals of the Academy of Romanian Scientists, Series on Science and Technology of Information 2(1), 95–106 (2009a)

    Google Scholar 

  • Dascalu, M., Trausan-Matu, S.: Ch.A.M.P. – Sistem pentru evaluarea si modelarea contributiei participantilor la un Chat. Revista Romana de Interactiune Om-Calculator 2(2), 131–146 (2009b)

    Google Scholar 

  • Dascalu, M., Trausan-Matu, S., Dessus, P.: Utterances assessment in chat conversations. Research in Computing Science 46, 323–334 (2010c)

    Google Scholar 

  • Davison, A., Kantor, R.: On the failure of readability formulas to define readable texts: A case study from adaptations. Reading Research Quarterly 17, 187–209 (1982)

    Article  Google Scholar 

  • Eshelman, L.J.: The CHC Adaptive Search Algorithm: How to Have Safe Search When Engaging in Nontraditional Genetic Recombination. In: Rawlins, G. (ed.) First Workshop on Foundations of Genetic Algorithms, pp. 265–283. Morgan Kaufmann, Bloomington (1991)

    Google Scholar 

  • Freeman, L.: A Set of Measures of Centrality Based on Betweenness. Sociometry 40(1), 35–41 (1977)

    Article  Google Scholar 

  • Heer, J., Card, S.K., Landay, J.A.: Prefuse: a toolkit for interactive information visualization. In: van der Veer, G., Gale, C. (eds.) SIGCHI 2005 Conference on Human factors in Computing Systems (CHI 2005), Portland, OR, pp. 421–430. ACM (2005)

    Google Scholar 

  • Holmer, T., Kienle, A., Wessner, M.: Explicit Referencing in Learning Chats: Needs and Acceptance. In: Nejdl, W., Tochtermann, K. (eds.) EC-TEL 2006. LNCS, vol. 4227, pp. 170–184. Springer, Heidelberg (2006)

    Chapter  Google Scholar 

  • Jurafsky, D., Martin, J.H.: An introduction to natural language processing. Computational linguistics, and speech recognition, 2nd edn. Pearson Prentice Hall, London (2009)

    Google Scholar 

  • Landauer, T.K., Dumais, S.T.: A solution to Plato’s problem: the Latent Semantic Analysis theory of acquisition, induction and representation of knowledge. Psychological Review 104(2), 211–240 (1997)

    Article  Google Scholar 

  • Landauer, T.K., Foltz, P.W., Laham, D.: An introduction to Latent Semantic Analysis. Discourse Processes 25(2/3), 259–284 (1998a)

    Article  Google Scholar 

  • Liu, B.: Web Data Mining: Exploring Hyperlinks, Contents, and Usage Data. Springer, USA (2011)

    Book  Google Scholar 

  • Manning, C.D., Schütze, H.: Foundations of statistical Natural Language Processing. MIT Press, Cambridge (1999)

    MATH  Google Scholar 

  • Mislove, A., Marcon, M., Gummadi, K.P., Druschel, P., Bhattacharjee, B.: Measurement and analysis of online social networks. In: 7th ACM SIGCOMM Conference on Internet Measurement, San Diego, CA, pp. 29–42. ACM (2007)

    Google Scholar 

  • Mitchell, M.: An Introduction to Genetic Algorithms. MIT Press, Cambridge (1996)

    Google Scholar 

  • Mitchell, T.: Machine Learning. McGraw Hill, New York (1997)

    MATH  Google Scholar 

  • Muhlenbein, H., Schlierkamp-Voosen, D.: Predictive models for the breeder genetic algorithm i. continuous parameter optimization i. Evolutionary Computation 1(1), 25–49 (1993)

    Article  Google Scholar 

  • Newman, M.E.J.: Networks: An Introduction. Oxford University Press, Oxford (2010)

    Book  Google Scholar 

  • Nguyen, Q.H., Hong, S.-H.: Comparison of centrality-based planarisation for 2.5D graph drawing. NICTA technical report, Sidney (2006)

    Google Scholar 

  • Page, E.: The imminence of grading essays by computer. Phi Delta Kappan 47, 238–243 (1966)

    Google Scholar 

  • Page, L.: Method for node ranking in a linked database. USA Patent 6,285,999 (September 4, 2001)

    Google Scholar 

  • Rebedea, T.: Computer-Based Support and Feedback for Collaborative Chat Conversations and Discussion Forums. University Politehnica of Bucharest, Bucharest (2012)

    Google Scholar 

  • Rosenblatt, F.: The Perceptron-a perceiving and recognizing automaton. Cornell Aeronautical Laboratory, Buffalo (1957)

    Google Scholar 

  • Searle, J.: Speech Acts: An Essay in the Philosophy of Language. Cambridge University Press, Cambridge (1969)

    Book  Google Scholar 

  • Stahl, G.: Group cognition. Computer support for building collaborative knowledge. MIT Press, Cambridge (2006b)

    Google Scholar 

  • Trausan-Matu, S., Chiru, C.G., Bogdan, R.: Identificarea actelor de vorbire in dialogurile purtate pe chat. In: Trausan-Matu, S., Pribeanu, C. (eds.) Conferinta Nationala de Interactiune Om-Calculator RoCHI 2004, pp. 206–214. Printech, Bucharest (2004)

    Google Scholar 

  • Trausan-Matu, S., Dascalu, M., Dessus, P.: Textual Complexity and Discourse Structure in Computer-Supported Collaborative Learning. In: Cerri, S.A., Clancey, W.J., Papadourakis, G., Panourgia, K. (eds.) ITS 2012. LNCS, vol. 7315, pp. 352–357. Springer, Heidelberg (2012)

    Chapter  Google Scholar 

  • Trausan-Matu, S., Rebedea, T., Dragan, A., Alexandru, C.: Visualisation of learners’ contributions in chat conversations. In: Fong, J., Wang, F.L. (eds.) Blended Learning, pp. 217–226. Pearson/Prentice Hall, Singapour (2007a)

    Google Scholar 

  • Whitley, D.: A genetic algorithm tutorial. Statistics and Computing 4(2), 65–85 (1994)

    Article  Google Scholar 

  • Wresch, W.: The imminence of grading essays by computer—25 years later. Computers and Composition 10(2), 45–58 (1993)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Mihai Dascalu .

Rights and permissions

Reprints and permissions

Copyright information

© 2014 Springer International Publishing Switzerland

About this chapter

Cite this chapter

Dascalu, M. (2014). Quantitative Analysis of Chat Participants’ Involvement. In: Analyzing Discourse and Text Complexity for Learning and Collaborating. Studies in Computational Intelligence, vol 534. Springer, Cham. https://doi.org/10.1007/978-3-319-03419-5_5

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-03419-5_5

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-03418-8

  • Online ISBN: 978-3-319-03419-5

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics