A Web Mining Tool for Assistance with Creative Writing

  • Boris A. Galitsky
  • Sergei O. Kuznetsov
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7814)

Abstract

We develop a web mining tool for assistance with creative writing. The relevance of web mining is achieved via computing similarities of parse trees for queries and found snippets. To assure the plausible flow of mental states of involved agents, a multi-agent behavior simulator is included in content generation algorithm.

Keywords

content generation web mining simulating mental states 

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References

  1. 1.
    Galitsky, B., de la Rosa, J.L.: Concept-based learning of human behavior for customer relationship management. Information Sciences 181(10), 2016–2035 (2011)CrossRefGoogle Scholar
  2. 2.
    Galitsky, B., de la Rosa, J.L., Kovalerchuk, B.: Assessing plausibility of explanation and meta-explanation in inter-human conflict. Engineering Application of AI 24(8), 1472–1486 (2011)Google Scholar
  3. 3.
    Galitsky, B., de la Rosa, J.L., Dobrocsi, G.: Inferring the semantic properties of sentences by mining syntactic parse trees. Data & Knowledge Engineering 82-82, 21–45 (2012)CrossRefGoogle Scholar
  4. 4.
    Galitsky, B.: Machine Learning of Syntactic Parse Trees for Search and Classification of Text. Engineering Application of Artificial Intelligence (2013), doi: dx.doi.org/10.1016/j.engappai.2012.09.017Google Scholar
  5. 5.
    Galitsky, B.: Exhaustive simulation of consecutive mental states of human agents. Knowledge-Based Systems (2012), doi: dx.doi.org/10.1016/j.knosys.2012.11.001Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Boris A. Galitsky
    • 1
  • Sergei O. Kuznetsov
    • 2
  1. 1.eBay Inc.San JoseUSA
  2. 2.Higher School of EconomicsMoscowRussia

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