2019:Education/Wikipedia Word Analyzer
 | This is a Closed submission for Wikimania 2019. It has been reviewed and was not accepted. |
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Title edit
Outline of Wikipedia Word Analyzer
Session leader(s) edit
| Full Name* | Email address* | Wikimedia Username (if you have one) | Affiliation | Country | Role, website or any other details you'd like to share |
|---|---|---|---|---|---|
| Yutaka Kubota | qurataro@gmail.com | qurataro | Personal | Japan | https://www.qurataro.com/wikipedia/ |
Session type edit
Each Space at Wikimania 2019 will have specific format requests. The program design prioritises submissions which are future-oriented and directly engage the audience. The format of this submission is a:
- Lecture - 25 min (20 min + 5 min for questions)
Length of session edit
If it is possible, 25 minutes and 5 min question.
Description edit
Wikipedia have a useful rich information. However, we difficult to read long description. So I imaged if the system pick up proper noun and put them around the titles. We might easy to and quickly understand the word. I build the system Japanese version.
Supporting work edit
Optional:
Relationship to the theme edit
This session will address the conference theme — Wikimedia, Free Knowledge and the Sustainable Development Goals — in the following manner: One of the idea of more useful using Wikpedia, And we quickly and easy to lean the huge information using morphology system.
Session outcomes edit
At the end of the session, the following will have been achieved: If we combine rich information and morphology system, We quickly and easy to understand the detail of word.
Relation to other Spaces edit
presentations
Requirements edit
The session will work best with these conditions:
- Recording: