Art
J-GLOBAL ID:201802264349207351
Reference number:18A2083963
Analyzing and Visualizing Attendees in Large-scale Events from Onsite Tweets
大規模イベントにおける現地ツイートの分析と混雑状況可視化
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Material:
Volume:
2018
Issue:
IFAT-132
Page:
Vol.2018-IFAT-132,No.20,1-6 (WEB ONLY)
Publication year:
Sep. 05, 2018
JST Material Number:
U0451A
Document type:
Proceedings
Article type:
原著論文
Country of issue:
Japan (JPN)
Language:
JAPANESE (JA)
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Semi thesaurus term:
Thesaurus term/Semi thesaurus term
Keywords indexed to the article.
All keywords is available on JDreamIII(charged).
On J-GLOBAL, this item will be available after more than half a year after the record posted. In addtion, medical articles require to login to MyJ-GLOBAL.
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JST classification (1):
JST classification
Category name(code) classified by JST.
Natural language processing
Reference (4):
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山﨑裕太郎, 福原知宏, 山田剛一 and 増田英孝, ′′大規模イベントにおける現地ツイートを用いた混雑状況可視化システムの提案′′, 第80回情報処理学会全国大会, 1M-03 (2018)
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丸千尋, 榎美紀, 中尾彰宏, 山本周, 山口実靖 and 小口正人, ′′大規模災害時におけるネットワーク制御のためのソーシャル情報を用いた障害検知システムの構築′′, 情報処理学会第78回全国大会講演論文集, 6K-01, pp.529-530 (2016)
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石野亜耶, 小田原周平, 難波英嗣, and 竹澤寿幸. ′′Twitterからの被災時の行動経路の自動抽出および可視化.′′ 言語処理学会 第18回年次大会: pp.907-910 (2012)
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Zhang, Wei, and Judith Gelernter. “Geocoding location expressions in Twitter messages: A preference learning method.” Journal of Spatial Information Science 2014.9: pp.37-70 (2014)
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