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Analysis of Solution Diversity in Topic Models for Smart City Applications

In: Sustainable Smart Cities - A Vision for Tomorrow

Author

Listed:
  • Toshio Uchiyama
  • Tsukasa Hokimoto

Abstract

Topic models are known to be useful tools for modeling and analyzing high-dimensional count data such as documents. In a smart city, it is important to collect and analyze citizens' voices to discover their concerns and issues. Topic modeling is effective for the above analysis because it can extract topics from a collection of documents. However, when estimating parameters (solutions) in topic models, various solutions are reached due to differences in algorithms and initial values. In order to select a solution suitable for the purpose from among the various solutions, it is necessary to know what kind of solutions exist. This chapter introduces methods for analyzing diverse solutions and obtaining an overall picture of the solutions.

Suggested Citation

  • Toshio Uchiyama & Tsukasa Hokimoto, 2023. "Analysis of Solution Diversity in Topic Models for Smart City Applications," Chapters, in: Amjad Almusaed & Asaad Almssad (ed.), Sustainable Smart Cities - A Vision for Tomorrow, IntechOpen.
    • Handle: RePEc:ito:pchaps:274299
    DOI: 10.5772/intechopen.106009
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    More about this item

    Keywords

    topic model; diversity of solution; normalized mutual information; typification of solutions; topic distribution; word distribution; information-theoretic clustering;
    All these keywords.

    JEL classification:

    • Q56 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environment and Development; Environment and Trade; Sustainability; Environmental Accounts and Accounting; Environmental Equity; Population Growth

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