Efficient Text Big Data Mining Technology via Structure Extraction

• Project/Area Number: 19H01133
• Research Category: Grant-in-Aid for Scientific Research (A)
• Allocation Type: Single-year Grants
• Section: 一般
• Review Section: Medium-sized Section 61:Human informatics and related fields
• Research Institution: National Institute of Informatics
• Principal Investigator: 宇野 毅明 国立情報学研究所, 情報学プリンシプル研究系, 教授 (00302977)
• Co-Investigator(Kenkyū-buntansha): 小林 亮太 東京大学, 大学院新領域創成科学研究科, 准教授 (70549237) ; 久保山 哲二 学習院大学, 付置研究所, 教授 (80302660) ; 橋本 隆子 千葉商科大学, 商経学部, 教授 (80551697) ; 申 吉浩 学習院大学, 付置研究所, 教授 (60523587)
• Project Period (FY): 2019-04-01 – 2024-03-31
• Project Status: Completed (Fiscal Year 2023)
• Budget Amount: ¥44,330,000 (Direct Cost: ¥34,100,000、Indirect Cost: ¥10,230,000); Fiscal Year 2023: ¥10,400,000 (Direct Cost: ¥8,000,000、Indirect Cost: ¥2,400,000); Fiscal Year 2022: ¥10,270,000 (Direct Cost: ¥7,900,000、Indirect Cost: ¥2,370,000); Fiscal Year 2021: ¥10,400,000 (Direct Cost: ¥8,000,000、Indirect Cost: ¥2,400,000); Fiscal Year 2020: ¥10,400,000 (Direct Cost: ¥8,000,000、Indirect Cost: ¥2,400,000); Fiscal Year 2019: ¥2,860,000 (Direct Cost: ¥2,200,000、Indirect Cost: ¥660,000)
• Keywords: ソーシャルメディア分析 / クラスタリング / 多様性 / アルゴリズム / 形質 / SNS / トピック / データ解析

Outline of Research at the Start

本課題ではWebテキスト等の自然言語ビッグデータから、クラスタやバースト等の意味的、時間的な局所構造を抽出し、分布や関連性を可視化して議論の流れやデマを獲得する手法を開発する。我々が開発したデータ研磨、バーストモデルを融合・発展して質の高い局所構造抽出手法を構築し、分布や関連を高次なマイニングと可視化により既存手法の限界を突破し、趨勢、デマ、多様性等の非言語的な形質を獲得する。社会科学等でのアンケートでの社会の実態や問題の獲得、SNSでの世論の抽出に新しい手法を提唱し、人々がネット情報に過剰に左右されずに情報を獲得し、ヘイトやデマ、いじめがないネット社会の構築に資することを目指す。

Outline of Annual Research Achievements

前年度開発した、形質的アプローチから人文学的な手法による解釈を加えてテキストデータを分析する手法をさらに展開した。これにより、さらなる深い解析や仮説の導出が行えるようになり、コロナ禍における社会の新たな側面に関する仮説を導き出すことができた。また、仮説をいくつもの根拠から支持するという、人文学の論拠手法を情報学の形に焼き直した記述方法を開発し、この記述方法でこれらの仮説を記述することができた。

形質の利用を行う新たなデータ解析アルゴリズムも構築した。ツイートやコメントの集合のような、短文が大量に集まるデータから効果的にキーワードを抽出する方法は、今まで決定打となるものはなかったが、今回クラスタ構造を用いて、局所的にキーワード性が高い単語を集めてくると言う新しいアプローチにより、直感的に納得度が高いと考えられるキーワード群を抽出するアルゴリズムを構築した。

Research Progress Status

令和5年度が最終年度であるため、記入しない。

Strategy for Future Research Activity

令和5年度が最終年度であるため、記入しない。

Research Products

• [Int'l Joint Research] インドネシア大学(インドネシア)
• [Int'l Joint Research] Madanapalle 大学(インド)
• [Int'l Joint Research] Universit; Clemont Auvergne(フランス)
• [Int'l Joint Research] Universit; di Pisa/Universit; degli Studi di Firenze(イタリア)
• [Int'l Joint Research] Ghent University(ベルギー)
• [Int'l Joint Research] the Institute of Physiology(チェコ)
• [Int'l Joint Research] Oxford university(英国)
• [Int'l Joint Research] Universite; di Pisa/University; degli Studi di Firenze(イタリア)
• [Int'l Joint Research] Universite Clemont Auvergne(フランス)
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  • DOI: 10.5220/0012322700003654
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• [Journal Article] Inference of Monosynaptic Connections from Parallel Spike Trains: A Review (2024)
  • Author(s): Kobayashi R, Shinomoto S
  • Journal Title: arXiv:2403.10993 Volume: -
• [Journal Article] 神経スパイクデータからシナプス結合を推定する (2023)
  • Author(s): 小林 亮太
  • Journal Title: 日本神経回路学会誌 Volume: 30 Pages: 66-72
• [Journal Article] Analyzing Relationships between Companies’ SDGs Activities and Financial Information using SHAP (2023)
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  • Journal Title: 14th IIAI International Congress on Advanced Applied Informatics (IIAI-AAI) Volume: - Pages: 442-445
  • DOI: 10.1109/iiai-aai59060.2023.00110
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• [Journal Article] クラスタリングを利用したキーワード抽出アルゴリズムのツイッターデータへの適用例 (2023)
  • Author(s): 宇野 毅明, 橋本 隆子
  • Journal Title: じんもんこん2022論文集 Volume: - Pages: 25-30
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• [Journal Article] Optimal LZ-End Parsing Is Hard (2023)
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• [Journal Article] A Compact DAG for Storing and Searching Maximal Common Subsequences (2023)
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  • Author(s): 徳永弘子, 久保山哲二, 木村敦, 武川直樹
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  • DOI: 10.1016/j.biosystems.2022.104802
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• [Journal Article] An extended Hilbert transform method for reconstructing the phase from an oscillatory signal (2023)
  • Author(s): Matsuki Akari、Kori Hiroshi、Kobayashi Ryota
  • Journal Title: Scientific Reports Volume: 13 Issue: 1 Pages: 1-16
  • DOI: 10.1038/s41598-023-30405-5
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• [Journal Article] Survival Information Science: Evolving Informatics for Well-Being of Humanity and Society (2022)
  • Author(s): 橋本 隆子, 灘本 明代
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  • Year and Date: 2022-05-01
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• [Journal Article] 多様性の解析を用いたニュース記事に対するコメント集合の分析 (2022)
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• [Journal Article] Extracting Cliches: Typify Slanderous Expressions Against the Confessions in the #MeToo Movement (2022)
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• [Journal Article] Using Temporal Information on Topic Mining (2022)
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• [Journal Article] Proximity Search for Maximal Subgraph Enumeration (2022)
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• [Journal Article] Modeling Collective Anticipation and Response on Wikipedia (2022)
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• [Journal Article] Analyzing temporal patterns of topic diversity using graph clustering (2021)
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• [Journal Article] A constant amortized time enumeration algorithm for independent sets in graphs with bounded clique number (2021)
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• [Journal Article] Efficient enumeration of dominating sets for sparse graphs (2021)
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  • Journal Title: Applied Mathematics Volume: 303 Pages: 283-295
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• [Journal Article] Maximal strongly connected cliques in directed graphs: Algorithms and bounds (2021)
  • Author(s): Alessio Conte, Mamadou Moustapha Kante, Takeaki Uno, Kunihiro Wasa
  • Journal Title: Discrete Applied Mathematics Volume: 303 Pages: 237-252
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• [Journal Article] Modeling the Spread of Fake News on Twitter (2021)
  • Author(s): Murayama T, Wakamiya S, Aramaki E, and Kobayashi R
  • Journal Title: PLOS ONE Volume: 16(4)
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• [Journal Article] Two-stage Clustering Method for Discovering People’s Perceptions: A Case Study of the Covid-19 Vaccine from Twitter (2021)
  • Author(s): Takako Hashimoto, Takeaki Uno, Yuka Takedomi, David Shepard, Toyoda Masashi, Naoki Yoshinaga, Masaru Kitsuregawa, Ryota Kobayashi
  • Journal Title: Bigdata 2021 Volume: 2021
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• [Journal Article] Random Number Generators in Training of Contextual Neural Networks. (2021)
  • Author(s): Huk, Maciej, Kilho Shin, Tetsuji Kuboyama, and Takako Hashimoto
  • Journal Title: In Intelligent Information and Database Systems: 13th Asian Conference, ACIIDS 2021 Volume: 2021 Pages: 717-730
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• [Journal Article] Analyzing temporal patterns of topic diversity using graph clustering (2020)
  • Author(s): Hashimoto Takako、Shepard David Lawrence、Kuboyama Tetsuji、Shin Kilho、Kobayashi Ryota、Uno Takeaki
  • Journal Title: The Journal of Supercomputing Volume: 77 Issue: 5 Pages: 4375-4388
  • DOI: 10.1007/s11227-020-03433-5
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• [Journal Article] Unsupervised Clustering based on Feature-value / Instance Transposition Selection (2020)
  • Author(s): A. Kusaba, T. Hashimoto, K. Shin, D. L. Shepard and T. Kuboyama
  • Journal Title: Proceedings of 2020 IEEE REGION 10 CONFERENCE (TENCON) Volume: Volume 1 Pages: 1192-1197
  • DOI: 10.1109/tencon50793.2020.9293922
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• [Journal Article] Estimating community feedback effect on topic choice in social media with predictive modeling (2020)
  • Author(s): Adelani David Ifeoluwa、Kobayashi Ryota、Weber Ingmar、Grabowicz Przemyslaw A.
  • Journal Title: EPJ Data Science Volume: 9 Issue: 1 Pages: 25-25
  • DOI: 10.1140/epjds/s13688-020-00243-w
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• [Journal Article] Predictive Nonlinear Modeling by Koopman Mode Decomposition (2020)
  • Author(s): Kusaba Akira、Shin Kilho、Shepard Dave、Kuboyama Tetsuji
  • Journal Title: International Conference on Data Mining Workshops (ICDMW) Volume: 1 Pages: 811-819
  • DOI: 10.1109/icdmw51313.2020.00118
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• [Journal Article] Pivot Selection for Narrow Sketches by Optimization Algorithms (2020)
  • Author(s): Higuchi Naoya、Imamura Yasunobu、Mic Vladimir、Shinohara Takeshi、Hirata Kouichi、Kuboyama Tetsuji
  • Journal Title: International Conference on Similarity Search and Applications (SISAP) Volume: LNCS 12440 Pages: 33-46
  • DOI: 10.1007/978-3-030-60936-8_3
  • ISBN: 9783030609351, 9783030609368
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• [Journal Article] Unsupervised Rumor Detection on Twitter using Topic Homogeneity (2020)
  • Author(s): David Lawrence Shepard, Takako Hashimoto, Kilho Shin, Takeaki Uno, Tetsuji Kuboyama
  • Journal Title: 15th Annual International Conference of the Alliance of Digital Humanities Organizations(DH) Volume: -
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• [Journal Article] Efficient enumeration of maximal k-degenerate induced subgraphs of a chordal graph (2020)
  • Author(s): Alessio Conte, Mamadou Moustapha Kante, Yota Otachi, Takeaki Uno, Kunihiro Wasa
  • Journal Title: Theoretical Computer Science Volume: 818 Pages: 2-11
  • DOI: 10.1016/j.tcs.2018.08.009
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• [Journal Article] 狭い16ビットのスケッチを用いた高速最近傍検索 (2020)
  • Author(s): 樋口直哉, 今村安伸, 久保山哲二, 平田耕一, 篠原武
  • Journal Title: 情報処理学会論文誌数理モデル化と応用 (TOM) Volume: 13(1) Pages: 13-22
  • NAID: 170000181812
• [Journal Article] データ研磨アルゴリズムの挙動と収束性の解析 (2020)
  • Author(s): 宇野毅明
  • Journal Title: 第177回情報処理学会アルゴリズム研究会 Volume: 177
• [Journal Article] 同型性の利用によるデータ研磨アルゴリズムの高速化手法 (2020)
  • Author(s): 宇野毅明
  • Journal Title: 第177回情報処理学会アルゴリズム研究会 Volume: 177
• [Journal Article] アピアランスを用いたクラスタリングにおける確信度の評価手法と実データによる検証 (2020)
  • Author(s): 岩﨑 幸子, 宇野 毅明
  • Journal Title: 人工知能学会 第112回人工知能基本問題研究会 Volume: 112
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• [Journal Article] クラスタリング安定化手法を用いた芯クラスタの抽出と実データによる質の評価 (2020)
  • Author(s): 岩﨑 幸子, 宇野 毅明
  • Journal Title: 人工知能学会 第112回人工知能基本問題研究会 Volume: 112
  • NAID: 130008061534
• [Journal Article] A Fast Algorithm for Unsupervised Feature Value Selection. (2019)
  • Author(s): Shin, K., Okumoto, K. Shepard, D., Kuboyama, T., Hashimoto, T., and Ohshima, H.
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  • DOI: 10.5220/0008981702030213
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• [Journal Article] Twitter Topic Progress Visualization using Micro-clustering. (2019)
  • Author(s): Hashimoto, T., Kusaba, A., Shepard, D., Kuboyama, T., Shin, K. and Uno, T.
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  • DOI: 10.1109/asiajcis.2019.000-2
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• [Journal Article] Reconstructing neuronal circuitry from parallel spike trains (2019)
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  • DOI: 10.1038/s41467-019-12225-2
  • NAID: 120006728081
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  • DOI: 10.1098/rsif.2019.0246
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• [Journal Article] Critical size of neural population for reliable information transmission (2019)
  • Author(s): Kostal Lubomir、Kobayashi Ryota
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  • DOI: 10.1103/physreve.100.050401
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• [Journal Article] Annealing by Increasing Resampling (2019)
  • Author(s): Naoya Higuchi, Yasunobu Imamura, Takeshi Shinohara, Kouichi Hirata, Tetsuji Kuboyama
  • Journal Title: Lecture Notes in Computer Scinece Volume: 11996 Pages: 71-92
  • DOI: 10.1007/978-3-030-40014-9_4
  • ISBN: 9783030400132, 9783030400149
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• [Journal Article] Using Label Information in a Genetic Programming Based Method for Acquiring Block Preserving Outerplanar Graph Patterns with Wildcards (2019)
  • Author(s): Tokuhara Fumiya、Okinaga Shiho、Miyahara Tetsuhiro、Suzuki Yusuke、Kuboyama Tetsuji、Uchida Tomoyuki
  • Journal Title: 11th IEEE International Workshop on Computational Intelligence and Applications, IWCIA Volume: 1 Pages: 95-100
  • DOI: 10.1109/iwcia47330.2019.8955031
  • Peer Reviewed / Open Access
• [Journal Article] Fast Filtering for Nearest Neighbor Search by Sketch Enumeration Without Using Matching (2019)
  • Author(s): Higuchi Naoya、Imamura Yasunobu、Kuboyama Tetsuji、Hirata Kouichi、Shinohara Takeshi
  • Journal Title: AI 2019: Advances in Artificial Intelligence - 32nd Australasian Joint Conference Volume: LNCS11919 Pages: 240-252
  • DOI: 10.1007/978-3-030-35288-2_20
  • ISBN: 9783030352875, 9783030352882
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• [Journal Article] Time Series Electricity Consumption Analysis using Non-negative Matrix Factorization (2019)
  • Author(s): Kusaba Akira、Kuboyama Tetsuji、Hashimoto Takako
  • Journal Title: IEEE 10th International Conference on Awareness Science and Technology, iCAST 2019 Volume: 1 Pages: 1-6
  • DOI: 10.1109/icawst.2019.8923311
  • Peer Reviewed
• [Journal Article] Time Series Topic Transition Based on Micro-Clustering (2019)
  • Author(s): Takako Hashimoto, Takeaki Uno, Tetsuji Kuboyama, Kilho Shin, Dave Shepard
  • Journal Title: Proceedings of IEEE International Conference on Big Data and Smart Computing, BigComp 2019 Volume: - Pages: 1-8
• [Journal Article] New polynomial delay bounds for maximal subgraph enumeration by proximity search (2019)
  • Author(s): Alessio Conte,Takeaki Uno
  • Journal Title: Proceedings of the 51st Annual ACM SIGACT Symposium on Theory of Computing, STOC 2019 Volume: 51 Pages: 1179-1190
  • DOI: 10.1145/3313276.3316402
  • Peer Reviewed
• [Journal Article] Mrmr+ and Cfs+ feature selection algorithms for high-dimensional data (2018)
  • Author(s): Angulo Adrian Pino、Shin Kilho
  • Journal Title: Applied Intelligence Volume: 49 Issue: 5 Pages: 1954-1967
  • DOI: 10.1007/s10489-018-1381-1
  • Peer Reviewed
• [Presentation] 意味理解の奥にあるものを探る ～ 大規模言語モデルの活用を考察する ～ (2024)
  • Author(s): 宇野 毅明
  • Organizer: モノづくり日本会議
  • Invited
• [Presentation] 業務における チャットGPT利用の向こう側 (2024)
  • Author(s): 宇野 毅明
  • Organizer: みどり会 管理部門幹部研究会
  • Invited
• [Presentation] 編集距離と進化的学習を利用した特徴的なワイルドカード付きタグ木パターンの獲得 (2023)
  • Author(s): 丹睦月, 宮原哲浩, 鈴木祐介, 久保山哲二, 内田智之
  • Organizer: 人工知能学会全国大会
• [Presentation] Reconstructing network structure from time series (2023)
  • Author(s): Ryota Kobayashi
  • Organizer: Dynamics Days Ookayama 2023
  • Invited
• [Presentation] Reconstructing neuronal circuitry from spiking signals from multiple neurons (2023)
  • Author(s): Ryota Kobayashi
  • Organizer: Stochastic Models of the Brain and related Topics
  • Invited
• [Presentation] 日本語Twitterデータからみる新型コロナワクチン接種に関する人々の関心の推移 (2023)
  • Author(s): 小林 亮太
  • Organizer: 電子情報通信学会 情報ネットワーク(IN)研究会
  • Invited
• [Presentation] ソーシャルメディアデータを使ったオンライン上の人々の行動解析 (2023)
  • Author(s): 小林 亮太
  • Organizer: 令和5年度 富山大学 生命融合特別講演会
  • Invited
• [Presentation] ソーシャルメディア上の世論の変遷と公的施策の関係－コロナワクチンに関する大規模Twitterデータ分析を通じて－ (2023)
  • Author(s): 橋本 隆子
  • Organizer: 学術フォーラム「デジタルデータ・社会調査データの公共的な利活用に向けて」
• [Presentation] Keynote: Survival Informatics for Well-being Future Societies (2023)
  • Author(s): Takako Hashimoto
  • Organizer: IEEE R10 Humanitarian Technology Conference (HTC) 2023
  • Invited
• [Presentation] Survival Informatics for Well-being Future Society － Large-scale Tweets Analysis on COVID-19 Vaccine － (2023)
  • Author(s): Takako Hashimoto
  • Organizer: HNICEM 2023: International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management,
• [Presentation] ソーシャルメディア上の世論の反応・変遷の分析 －コロナワクチンに関する大規模Tweetsの構造化を通じて－ (2023)
  • Author(s): 橋本 隆子
  • Organizer: 第5回世界エンジニアリングデー記念シンポジウム
  • Invited
• [Presentation] SNSにおける化粧品のクチコミ分析 (2023)
  • Author(s): 佐藤 優月, 赤木 茅, 江草 遼平, 橋本 隆子
  • Organizer: JSAI Special Interest Group on Business Informatics (SIG-BI)
• [Presentation] 日本語の大規模Twitterデータからみる新型コロナワクチン接種に関する人々の関心の推移 (2023)
  • Author(s): 武富有香, 中山悠理, 須田永遠, 宇野毅明, 橋本隆子, 豊田正史, 吉永直樹, 喜連川優, Luis EC Rocha, 小林亮太
  • Organizer: 2023年度人工知能学会全国大会
• [Presentation] チャットGPTが あたりまえの未来に向けて (2023)
  • Author(s): 宇野 毅明
  • Organizer: 毎日21世紀フォーラム
  • Invited
• [Presentation] チャットGPTが作る技術と 未来社会を考察する (2023)
  • Author(s): 宇野 毅明
  • Organizer: 金融財政事情研究会
  • Invited
• [Presentation] チャットGPTが作る未来に向けて 備えるべきもの (2023)
  • Author(s): 宇野 毅明
  • Organizer: 毎日メトロポリタンアカデミー
  • Invited
• [Presentation] 〈手紙〉はなぜ届くのか──クロソウスキー『プロンプター』と精神分析 (2023)
  • Author(s): 須田永遠
  • Organizer: 日本フランス語フランス文学会全国大会
• [Presentation] スケッチを用いた検索における2段階フィルタリングの有効性の検証 (2023)
  • Author(s): 樋口直哉, 今村安伸, 篠原武, 平田耕一, 久保山哲二
  • Organizer: 人工知能基本問題研究会
• [Presentation] ラッセル『西洋哲学史』における各章の語彙分布・章同士の関係の分析 (2023)
  • Author(s): 占部雄大, 前山和喜, 須田永遠
  • Organizer: 情報処理学会第85回全国大会
• [Presentation] 大規模Twitterデータを用いた新型コロナワクチン接種に関する世論変化の分析 (2023)
  • Author(s): 武富有香,中山悠理,須田永遠,宇野毅明,橋本隆子,豊田正史,吉永直樹,喜連川優,Luis E C Rocha,小林亮太
  • Organizer: 情報処理学会第85回全国大会
• [Presentation] ラベル情報を利用した進化的学習による複合的なワイルドカード付きタグ木パターンの獲得 (2022)
  • Author(s): 宮原哲浩, 鈴木祐介, 久保山哲二, 内田智之
  • Organizer: 工知能学会全国大会
• [Presentation] Modeling spike frequency adaptation of a neuron and its potential role for sensory coding (2022)
  • Author(s): Ryota Kobayashi
  • Organizer: Minisymposium “Stochastic models for neuronal activity” in ICMNS 2022
  • Invited
• [Presentation] Estimating synaptic connectivity from parallel spike train (2022)
  • Author(s): Ryota Kobayashi
  • Organizer: Workshop in Ghent university
  • Invited
• [Presentation] Network inference from time series (2022)
  • Author(s): Ryota Kobayashi
  • Organizer: Workshop: Networks of spiking neurons
  • Invited
• [Presentation] Structuring Topics on Large-Scale Social Media for Discovering People's Perceptions (2022)
  • Author(s): Takako Hashimoto
  • Organizer: 2022 IEEE Pune Section International Conference (PuneCon)
• [Presentation] Discovering People‘s Perceptions from Twitter Case Study on COVID-19 Vaccine and the East Japan Great Earthquake (2022)
  • Author(s): Takako Hashimoto
  • Organizer: Sensors for Medical Applications and Healthcare
  • Invited
• [Presentation] 複数テキストの利用による問いの広がりと深まり（批判的思考、創造的思考の育成を目指して） (2022)
  • Author(s): 松下達彦, 藤永清乃, 須田永遠, 武富有香, 江頭由美, 柿山礼美, 片山智子, 行田悦子
  • Organizer: 日本リメディアル教育学会第17回全国大会 日本語部会
• [Presentation] 問いの循環による複数テキストの批判的統合：言語クラスにおける授業方法と教材の開発 (2022)
  • Author(s): 松下達彦, 藤永清乃, 江頭由美, 柿山礼美, 片山智子, 行田悦子, 須田永遠, 武富有香
  • Organizer: 「未来を創ることばの教育をめざして、内容重視の批判的言語教育のその後」第2回シンポジウム
• [Presentation] Utility of Clustering algorithms in Social Media Analysis (2022)
  • Author(s): Takeaki Uno
  • Organizer: IEEE Big Data 2022
  • Invited
• [Presentation] 思想史ネットワーク分析／SNS解析のための日本語文体論の試みについて (2022)
  • Author(s): 須田永遠
  • Organizer: フランス現象学研究会
• [Presentation] 唐宋八大家古文の計量分析的考察ー序、記、論の虚詞分析 (2022)
  • Author(s): 東英寿, 久保山哲二
  • Organizer: 『唐宋八大家研究』
• [Presentation] 社会連携のためのファシリテーション講座 ①インタビューイング (2022)
  • Author(s): 宇野 毅明
  • Organizer: 九州大学公開講座
  • Invited
• [Presentation] 社会連携のためのファシリテーション講座 ②相互理解とコミュニケーション (2022)
  • Author(s): 宇野 毅明
  • Organizer: 九州大学公開講座
  • Invited
• [Presentation] 社会連携のためのファシリテーション講座 ③共通のテーマ設定 (2022)
  • Author(s): 宇野 毅明
  • Organizer: 九州大学公開講座
  • Invited
• [Presentation] "総合知に向けた人文社会科学データの観点から" (2022)
  • Author(s): Hashimoto, T
  • Organizer: 公開シンポジウム「総合知創出に向けた人文・社会科学のデジタル研究基盤構築の現在」
• [Presentation] 共食における銘々膳と共同膳の形式が参加者の会話行動に及ぼす影響 (2022)
  • Author(s): 徳永弘子, 久保山哲二, 木村敦, 武川直樹
  • Organizer: 電子情報通信学会技術研究報告121(363), pp.43-48, Jan. 2022
• [Presentation] Structuring Topics on Large-Scale Twitter for Discovering People's Perceptions (2021)
  • Author(s): Hashimoto, T.
  • Organizer: KJDB 2021
• [Presentation] Twitter Topic Progress Visualization using Micro-clustering (2020)
  • Author(s): Hashimoto, T.; Kusaba, A.; Shepard, D.; Kuboyama, T.; Shin, K. and Uno, T.
  • Organizer: the 9th International Conference on Pattern Recognition Applications and Methods the 9th International Conference on Pattern Recognition Applications and Methods
  • Int'l Joint Research
• [Presentation] Unsupervised Clustering based on Feature-value / Instance Transposition Selection (2020)
  • Author(s): A. Kusaba, T. Hashimoto, K. Shin, D. L. Shepard and T. Kuboyama
  • Organizer: 2020 IEEE REGION 10 CONFERENCE (TENCON)
  • Int'l Joint Research
• [Presentation] Unsupervised Rumor Detection on Twitter using Topic Homogeneity. (2020)
  • Author(s): David Lawrence Shepard, Takako Hashimoto, Kilho Shin, Takeaki Uno, and Tetsuji Kuboyama
  • Organizer: The 15th Annual International Conference of the Alliance of Digital Humanities Organizations (DH2020)
  • Int'l Joint Research
• [Presentation] A Fast Algorithm for Unsupervised Feature Value Selection (2020)
  • Author(s): Shin, K., Okumoto, K., Shepard, D. L., Kuboyama T., Hashimoto, T., and Ohshima
  • Organizer: The 12th International Conference on Agents and Artificial Intelligence (ICAART2020)
  • Int'l Joint Research
• [Presentation] Evaluation for ESD (Education for Sustainable Development) to achieve SDGs at University (2020)
  • Author(s): Sato, S., Hashimoto, T., and Shirota, Y.
  • Organizer: The 2020 IEEE 10th International Conference on Awareness Science and Technology (iCAST)
  • Int'l Joint Research
• [Presentation] Indonesian Gender Equality Survey Analysis Using Feature Selection Based Clustering (2020)
  • Author(s): Hashimoto, T., Shin, K., Shepard, D. L., and Kuboyama T.
  • Organizer: The 2020 IEEE 10th International Conference on Awareness Science and Technology (iCAST)
  • Int'l Joint Research
• [Presentation] Efficient Text Big Data Mining Technology and Application (2020)
  • Author(s): Hashimoto, T.
  • Organizer: IEEE Computer Society India Symposium
  • Int'l Joint Research / Invited
• [Presentation] Efficient Text Big Data Mining Technology and Application (2020)
  • Author(s): Hashimoto, T.
  • Organizer: The 12th International Conference on Computational Collective Intelligence (ICCCI 2020)
  • Int'l Joint Research / Invited
• [Presentation] 大規模SNSを対象としたテキストデータマイニング ー集合行動解析とそのアプリケーションー (2020)
  • Author(s): 橋本 隆子
  • Organizer: IEEE CS Japan/Tokyo Award記念講演会
  • Invited
• [Presentation] BigData、Social Mining を通した新たなサービスモデルの可能性、特にコロナ後のダイバーシティ、グローバル化を睨んで (2020)
  • Author(s): 橋本 隆子
  • Organizer: 電子情報通信学会 研究会 KBSE・SC, 「ウィズコロナ／アフターコロナ時代の知能ソフトウエア工学とサービスコンピューティング」
  • Invited
• [Presentation] Detecting Collective Behavior on SNS Using Large-Scale Text Mining Techniques (2020)
  • Author(s): Hashimoto, T.
  • Organizer: The 17th INDICON 2020
  • Int'l Joint Research / Invited
• [Presentation] Analyzing Collective Behavior on Social Networks Using Efficient Text Big Data Mining Technology. (2020)
  • Author(s): Hashimoto, T.
  • Organizer: IEEE PuneCon 2020 conference,
  • Int'l Joint Research / Invited
• [Book] AI新世: 人工知能と人類の行方 (2022)
  • Author(s): 小林 亮太, 篠本 滋, 監修: 甘利 俊一
  • Total Pages: 288
  • Publisher: 文藝春秋
• [Funded Workshop] Workshop on Stochastic processes and their applications (2022)