Monitoring trending topics of real-world events on Indonesian tweets using fuzzy C-means in lower dimensional space

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Topic detection is an automatic method to extract topics in textual data, i.e., trending topic in social media. One of the recent topic detection methods is Eigenspace-based Fuzzy C-Means, which is a soft clustering-based topic detection method. In this method, the textual data are transformed into a lower-dimensional Eigenspace using truncated singular value decomposition. Fuzzy C-Means is performed on the Eigenspace to identify the memberships of each textual data to each cluster. Using these memberships, we extract the topics from textual data on the original space. In this paper, we use another approach to extract the topics by transforming back the centroids of the clusters into the positive subspace of the original space. Our simulations show that this new approach improves the old one regarding the topic interpretability in term of the coherence score. Moreover, this Eigenspace-based Fuzzy CMeans becomes better than both standard methods, i.e., nonnegative matrix factorization and latent Dirichlet allocation.

Original languageEnglish
Title of host publicationICAAI 2019 - 2019 the 3rd International Conference on Advances in Artificial Intelligence
PublisherAssociation for Computing Machinery
Pages82-85
Number of pages4
ISBN (Electronic)9781450372534
DOIs
Publication statusPublished - 26 Oct 2019
Event3rd International Conference on Advances in Artificial Intelligence, ICAAI 2019 - Istanbul, Turkey
Duration: 26 Oct 201928 Oct 2019

Publication series

NameACM International Conference Proceeding Series

Conference

Conference3rd International Conference on Advances in Artificial Intelligence, ICAAI 2019
CountryTurkey
CityIstanbul
Period26/10/1928/10/19

Keywords

  • Clustering
  • Eigenspace
  • Fuzzy c-means
  • Topic detection
  • Topic monitoring
  • Twitter

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  • Cite this

    Murfi, H. (2019). Monitoring trending topics of real-world events on Indonesian tweets using fuzzy C-means in lower dimensional space. In ICAAI 2019 - 2019 the 3rd International Conference on Advances in Artificial Intelligence (pp. 82-85). (ACM International Conference Proceeding Series). Association for Computing Machinery. https://doi.org/10.1145/3369114.3369127