Navigation

  • About
  • Resume
  • Research Fields
  • Enrollment and Training
  • Course
  • Scientific
  • Academic Achievements
  • Honor
头像

Wangrenwu

  • About

    • Department: 经济与管理学部
    • Gender: male
    • Post:
    • Graduate School:
    • Degree: PhD
    • Academic Credentials: Postgraduate
    • Tel: 021-54344958
    • Email: rwwang@infor.ecnu.edu.cn
    • Office: 500 Dongchuan Road, Shanghai
    • Address: Room 437, South Building, Fashang Building
    • PostCode: 200241
    • Fax:

    WorkExperience

    1992.07--present Teacher, Department of Information Management, Faculty of Economics and Management, East China Normal University (formerly known as Department of Information, East China Normal University, Business School)

    Education

    Resume

    1992.07--present Teacher, Department of Information Management, Faculty of Economics and Management, East China Normal University (formerly known as Department of Information, East China Normal University, Business School)

    Other Appointments

    Professional Data Service Committee of Shanghai Library Association


    Research Fields

    Business analysis, data mining and text mining, machine learning and deep learning applications

    Good at using python for data mining, machine learning, deep learning and other application practices

    I am also familiar with information systems and e-commerce. I have presided over the analysis, design and development of information systems for many enterprises and institutions, and have been responsible for technology research and development of large e-commerce companies.

    Enrollment and Training

    Course

    Teach undergraduates and graduate students Data Mining, Text Mining, Business Analysis Practice, Python Data Analysis Practice and other courses.

    Among them, the Data Mining course has more than 10 years of teaching experience.

    Scientific

    1. The National Social Science Fund Project: Research on the Data-driven Library Resource Discovery Platform (2016~2019)[number 16BTQ026];

    2. The Project of Shanghai Science and Technology Commission: Research on Information Processing and Analysis Based on Deep Learning in the Era of Data Intelligence (2019~2020)[number 19692106600];

    3. The Project of Shanghai Science and Technology Commission: Exploration of Intelligent Methods for Mining Major Needs (2019~2020)[number 19692116003];

    4. The Decision-making Consultation Project of the Shanghai Municipal People's Government: the application of deep learning algorithms in the construction of a long-term online public opinion early warning mechanism for the real estate market[number 2018-GR-46];

    5. Participate in the National Natural Science Fund Project: Research on Cross-Dimensional Citation Analysis Methods (2018~2021), Research on the Protection and Promotion of National Core Competitiveness Based on Information Sovereignty (2010~2012), and participate in the National Social Science Project: Social Media Information Quality Content evaluation research (2014~2016), participating in the Shanghai Social Science Project: Research on the Evaluation of Science and Technology Innovation Projects and Supporting Platform Construction (2019~2020), and Research on the Social Science Knowledge Output Cooperation Network Funded by the Science Foundation (2015~2016).

    6. Presided over deep learning-based infant body posture recognition, research on key technology application of big data marketing, research on enterprise knowledge management mode, research on intelligent information processing and application of business websites, research on new methods of web information collection, research on virtualization of enterprise data centers , Virtualization and big data application research, enterprise knowledge sharing and exchange system research and other research projects commissioned by enterprises have nearly 15 research projects.

    Academic Achievements

    代表著作

    1、王仁武：Python与数据科学，华东师范大学出版社，2016

    2、王仁武等：商业分析，华东师范大学出版社，2014

    3、王仁武：序列构造神经网络与多维数据分析，上海社科院出版社，2008

    4、王仁武：实用电子商务技术，上海科学普及出版社，2004


    代表论文

    1、王仁武（Wang   R .通讯作者）等. A fine-grained sentiment analysis of  online guest reviews   of economy hotels in China[J]. Journal of Hospitality Marketing &   Management, 2020(3):1-25.

    2、王仁武等. 图片情感分析研究综述[J]. 图书情报知识, 2020, 000(003):119-127.

    3、王仁武等：基于深度学习的隐性评价对象识别方法[J]. 计算机工程, 2019, 45(8).

    4、王仁武等：学术用户画像的行为与兴趣标签构建与应用[J]. 现代情报, 2019(9):54-63.

    5、王仁武等：基于词向量扩展的学术资源语义检索技术[J]. 图书情报工作, 2018, 62(19).

    6、王仁武等：融合用户情感评分的节点专业影响力分析[J]. 现代情报, 2018, 38(7):56-63.

    7、王仁武等：实体—属性抽取的GRU+CRF方法[J]. 现代情报, 2018, 38(10):59-66.

    8、王仁武. 专题:商业数据分析与挖掘. 图书情报工作, 2017(22).

    9、王仁武等：基于Word2vec的情感分析在品牌认知中的应用研究[J]. 图书情报工作, 2017, 61(22):6-12.

    10、王仁武等：基于深度学习与图数据库构建中文商业知识图谱的探索研究，图书与情报，2016,1

    11、王仁武等：基于Clauset和PageRank的社交网络族群兴趣发现研究，情报杂志，2015,11

    12、袁旭萍,王仁武等：基于综合指数和熵值法的微博水军自动识别，情报杂志，2014,7

    13、王仁武等：基于社区Web日志挖掘的用户行为实证研究，图书馆论坛，2011.8

    14、W   Renwu：The images filtering information system for website   images，E-Business and E-Government (ICEE), 2011 International   Conference，6-8 May 2011

    15、王仁武：一种图片分类的序列构造神经网络方法，情报科学，2007.11

    16、王仁武：政务信息资源元数据目录服务系统的设计与实现，情报杂志，2007.6

    17、 王仁武：电子政务信息资源元数据标准的设计与实现，情报资料工作，2007.4

    18、 Renwu Wang:The Constructive Layers Neural Netwoks，WSEAS Transactions on Systems，2007.3

    19、王仁武：基于本体的异构信息互操作研究，情报杂志，2007.2

    。。。

    Honor

    Second Prize of Shanghai Teaching Achievement Award (2017, one of the members)