SalienceGraph: Visualizing salience dynamics of written discourse by using reference probability and PLSA

Shun Shiramatsu, Kazunori Komatani, Tetsuya Ogata, Hiroshi G. Okuno

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

5 Citations (Scopus)

Abstract

Since public involvement in the decision-making process for community development needs a lot of efforts and time, support tools for speeding up the consensus building process among stakeholders are required. This paper presents a new method for finding, tracking and visualizing participants' concerns (topics) from the record of a public debate. For finding topics, we use the salience of a term, which is computed as its reference probability based on referential coherence in the Centering Theory. Our system first annotates a debate record or minute into Global Document Annotation (GDA) format automatically, and then computes the salience of each term from the GDA-annotated text sentence by sentence. Then, by using the Probalilistic Latent Semantic Analytsis (PLSA), our system reduces the dimensions of the vector of salience values of terms into a set of major latent topics. For tracking topics, we use the salience dynamics, which is computed as the temporal change of joint attention to the major latent topics with additional user-supplied terms. The resulting graph is called SalienceGraph. For visualizing SalienceGraph, we use 3D visualizer with GUI designed by "overview first, zoom and filter, then details on demand" principle. SalienceGraph provides more accurate trajectory of topics than conventional TF•IDF.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages890-902
Number of pages13
Volume5351 LNAI
DOIs
Publication statusPublished - 2008
Externally publishedYes
Event10th Pacific Rim International Conference on Artificial Intelligence, PRICAI 2008 - Hanoi
Duration: 2008 Dec 152008 Dec 19

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5351 LNAI
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other10th Pacific Rim International Conference on Artificial Intelligence, PRICAI 2008
CityHanoi
Period08/12/1508/12/19

Fingerprint

Graphical user interfaces
Decision making
Semantics
Trajectories
Term
Annotation
TF-IDF
Tool Support
Decision Making
Trajectory
Filter
Discourse
Graph in graph theory

Keywords

  • Discourse analysis
  • Discourse salience
  • PLSA
  • Visualization

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

Cite this

Shiramatsu, S., Komatani, K., Ogata, T., & Okuno, H. G. (2008). SalienceGraph: Visualizing salience dynamics of written discourse by using reference probability and PLSA. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5351 LNAI, pp. 890-902). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5351 LNAI). https://doi.org/10.1007/978-3-540-89197-0_83

SalienceGraph : Visualizing salience dynamics of written discourse by using reference probability and PLSA. / Shiramatsu, Shun; Komatani, Kazunori; Ogata, Tetsuya; Okuno, Hiroshi G.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 5351 LNAI 2008. p. 890-902 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5351 LNAI).

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

Shiramatsu, S, Komatani, K, Ogata, T & Okuno, HG 2008, SalienceGraph: Visualizing salience dynamics of written discourse by using reference probability and PLSA. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). vol. 5351 LNAI, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 5351 LNAI, pp. 890-902, 10th Pacific Rim International Conference on Artificial Intelligence, PRICAI 2008, Hanoi, 08/12/15. https://doi.org/10.1007/978-3-540-89197-0_83
Shiramatsu S, Komatani K, Ogata T, Okuno HG. SalienceGraph: Visualizing salience dynamics of written discourse by using reference probability and PLSA. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 5351 LNAI. 2008. p. 890-902. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-540-89197-0_83
Shiramatsu, Shun ; Komatani, Kazunori ; Ogata, Tetsuya ; Okuno, Hiroshi G. / SalienceGraph : Visualizing salience dynamics of written discourse by using reference probability and PLSA. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 5351 LNAI 2008. pp. 890-902 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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