Organization
Graduate School of Humanities Assistant Professor
Undergraduate School
School of Humanities
Title
Assistant Professor
ZHENG Wanwan
Degree 3
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博士（文化情報学） （ 2021.3 同志社大学 ）
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修士（文化情報学） （ 2018.3 同志社大学 ）
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学士（工学） （ 2014.6 天津科技大学 ）
Research Interests 1
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テキストマイニング、機械学習、ノイズ検出、特徴選択
Research Areas 2
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Humanities & Social Sciences / Library and information science, humanistic and social informatics
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Informatics / Intelligent informatics
Research History 5
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Nagoya University Assistant Professor
2023.4
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Tokyo University of Science
2022.3 - 2023.3
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中国信息通信研究院 研究員
2020.10 - 2022.3
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Doshisha University
2019.4 - 2021.3
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Doshisha University
2019.4 - 2020.3
Education 2
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Doshisha University
2018.4 - 2021.3
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Doshisha University
2016.4 - 2018.3
Professional Memberships 4
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語彙研究会
2023.6
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情報処理学会
2022.3
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日本行動計量学会
2022.3
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言語処理学会
2022.3
Papers 19
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Enhancing Data Quality with Label Noise Detection Reviewed
Wanwan Zheng
Proceedings of 10th Annual Conference on Computational Science & Computational Intelligence 2023.12
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Is word length inaccurate for authorship attribution? Reviewed
Wanwan Zheng;Mingzhe Jin
Digital Scholarship in the Humanities Vol. 38 ( 2 ) page： 875 - 890 2022.11
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Assessment Model of Smart Factory Reviewed
Qiqi Li;Yin Sun;Xiao Yang;Wanwan Zheng
Information and Communications Technology and Policy Vol. 48 ( 4 ) page： 66 - 75 2022.10
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A review on authorship attribution in text mining Invited Reviewed
Wanwan Zheng;Mingzhe Jin
WIREs Computational Statistics Vol. 15 ( 2 ) 2022.4
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Improving the Performance of Feature Selection Methods with Low-Sample-Size Data Reviewed
Wanwan Zheng;Mingzhe Jin
The Computer Journal Vol. 66 ( 7 ) page： 1664 - 1686 2022.4
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A Study of Integration Path and Application of Active Identification Carriers Reviewed
Yin Sun;Qiqi Li;Wanwan Zheng
Proceedings of 3rd International Academic Exchange Conference on Science and Technology Innovation page： 446 - 449 2021.10
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The effectiveness of maximal information coefficient in real-world classification tasks Reviewed
Yanru Chen;Wanwan Zheng;Mingzhe Jin
Vol. 62 ( 3 ) page： 149 - 156 2021.10
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Improving classification accuracy for machine learning
Wanwan Zheng
2021.3
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A Fast Noise Detector with Multi-factor-based Learning Reviewed
Wanwan Zheng;Mingzhe Jin
Proceedings of 9th International Conference on Computational Data and Social Networks page： 14 - 25 2020.12
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テキストコーパスマイニングツールMTMineR Invited
金明哲;鄭弯弯
計量国語学 Vol. 32 ( 5 ) page： 265 - 276 2020.6
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The Effects of Class Imbalance and Training Data Size on Classifier Learning: An Empirical Study Reviewed
Wanwan Zheng;Mingzhe Jin
SN Computer Science Vol. 1 ( 2 ) 2020.2
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FTA: A Novel Feature Training Approach for Classification Reviewed
Wanwan Zheng;Mingzhe Jin
Proceedings of 33rd Pacific Asia Conference on Language, Information and Computation page： 343 - 350 2019.12
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Effects of Training Data Size and Class Imbalance on the Performance of Classifiers Reviewed
Wanwan Zheng;Mingzhe Jin
Proceedings of 2019 International Conference on Artificial Intelligence and Natural Language page： 3 - 17 2019.7
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Comparing multiple categories of feature selection methods for text classification Reviewed
Wanwan Zheng;Mingzhe Jin
Digital Scholarship in the Humanities Vol. 35 ( 1 ) page： 208 - 224 2019.2
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Do We Need More Samples for Text Classification? Reviewed
Wanwan Zheng;Mingzhe Jin
Proceedings of the 2018 Artificial Intelligence and Cloud Computing Conference page： 121 - 128 2018.12
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Comparing Multiple Categories of Feature Selection Methods by Using Rank Aggregation Reviewed
Wanwan Zheng;Mingzhe Jin
Proceedings of 16th IEEE International Conference on ICT and Knowledge Engineering page： 1 - 6 2018.11
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A Comparative Study of Feature Selection Methods Invited Reviewed
International Journal on Natural Language Computing Vol. 7 ( 5 ) page： 1 - 9 2018.10
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Evaluate Lexical Richness Measures Using Coefficient of Variation and Relative Value Reviewed
Wanwan Zheng;Mingzhe Jin
Proceedings of 19th International Conference on Computational Linguistics and Intelligent Text Processing 2018.3
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変動係数を用いた語彙の豊富さ指標の比較評価 Reviewed
鄭弯弯;金明哲
同志社大学ハリス理化学研究報告 Vol. 58 ( 4 ) page： 230 - 241 2018.1
Presentations 8
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F-LUKE: 景気センチメントに特化した言語モデル
鄭弯弯
情報処理学会第86回全国大会 2024.3.16
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語彙の多様性，密度，洗練性から見た語彙の豊富さ
鄭弯弯
言語処理学会第30回年次大会 2024.3.12
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語彙サイズが大きいのは豊富であるか
鄭弯弯
2023年語彙研究会大会 2023.12.3
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センチメントによる景気動向指数DIの補正と解釈
鄭弯弯
第20回テキストアナリティクス・シンポジウム 2023.9.7
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ノイズに悩まされないで:シャドウデータに基づくラベルノイズ検出方法
鄭弯弯
第22回情報科学技術フォーラム 2023.9.6
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変数を細分類化する特徴選択方法
鄭弯弯
情報処理学会第85回全国大会 2023.3.2
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著者識別において単語の長さの精度が低いなのか
鄭弯弯;金明哲
日本行動計量学会第50回大会 2022.8.31
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次元削減における特徴選択と特徴抽出の有効性比較
鄭弯弯
日本行動計量学会第50回大会 2022.8.29