Visualization of Discussion Structure for Discovering and Understanding Discussion Points

E-resources

PDF

Full text

Open access

Visualization of Discussion Structure for Discovering and Understanding Discussion Points

MATSUMURA, Naohiro; KATO, Yu; OHSAWA, Yukio; ISHIZUKA, Mitsuru

Journal of Japan Society for Fuzzy Theory and Intelligent Informatics, 2003/10/15, Volume: 15, Issue: 5

Journal Article

Structured discussion showing complicated flow of topics greatly helps us discover and understand the main points. In this paper, we propose a new system which visualizes discussion structure by linking the topic segments identified from a minutes of meeting. Based on the structured discussion, we also aim at discovering influential topic segments triggering fruitful discussions by applying Influence Diffusion Model (IBM) The results of questionnaire surveys show that (1) the structured discussion can support user's understanding of discussions instinctively (2) the precision of influential topic segments by IDM is higher than that by in-degree and out-degree measurements.

Keep searching

Author

MATSUMURA, Naohiro | KATO, Yu | OHSAWA, Yukio | ISHIZUKA, Mitsuru

Access to the JCR database is permitted only to users from Slovenia. Your current IP address is not on the list of IP addresses with access permission, and authentication with the relevant AAI accout is required.

Year	Impact factor		Edition		Category		Classification
Year	JCR	SNIP	JCR	SNIP	JCR	SNIP	JCR	SNIP

Links to authors' personal bibliographies	Links to information on researchers in the SICRIS system

Source: Personal bibliographies and: SICRIS

Upload image

Shelf entry

Adding material to shelf was successful.

Adding material to shelf failed.

It was not necessary to add the material to the shelf.

Permalink

E-mail

Impact factor

Select the library membership card:

DRS, in which the journal is indexed

Citations

Theme