Research on knowledge dissemination in smart cities environment based on intelligent analysis algorithms: a case study on online platform

Chengzhi Jiang; Hao Xu; Chuanfeng Huang; Yiyang Chen; Ruoqi Zou; Yixiu Wang; Chengzhi Jiang; Hao Xu; Chuanfeng Huang; Yiyang Chen; Ruoqi Zou; Yixiu Wang

doi:10.3934/mbe.2021134

Mathematical Biosciences and Engineering

2021, Volume 18, Issue 3: 2632-2653. doi: 10.3934/mbe.2021134

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Research on knowledge dissemination in smart cities environment based on intelligent analysis algorithms: a case study on online platform

1.
School of Information Management, Nanjing University, Nanjing 210023, China
2.
School of Economics and Management, Nanjing Institute of Technology, Nanjing 211167, China
3.
School of Computer Science, University of St Andrews, St Andrews KY16 9AJ, United Kingdom
4.
Ping An International Smart City Technology Co., Ltd, Shenzhen 518002, China

Received: 06 January 2021 Accepted: 03 March 2021 Published: 19 March 2021

In developing smart cities, the implementation of social connections, collaboration, innovation, exchange of views by observing, exploiting and integrating various types of knowledge is required. The smart cities concept that employs knowledge sharing mechanism can be defined as the concept of a city that utilizes information technology to increase citizens' awareness, intelligence as well as community's participation. The knowledge dissemination via online sharing platforms has been becoming more popular in recent years, especially during the epidemic of infectious diseases. Thus, the social network and emotional analysis method based on intelligent data analysis algorithms is proposed to study the speaker relationship and comment sentiment tendency of a Chinese popular speech (knowledge dissemination) platform: YiXi. In our research, 690 speakers' information and 23,685 comments' information are collected from YiXi website as the data source. The speaker relationship network construction algorithm and emotional analysis algorithm are designed in details respectively. Experiments show that speakers who have the same profession can deliver different types of speeches, indicating that selection of YiXi platform in the invitation of speakers is diversified. In addition, overall sentiment tendency of comments on speeches seem to be slightly positive and most of them are the personal feelings according to their experience after watching speech videos instead of the direct evaluations of speech quality. The research aims to gain an insight into the popular knowledge sharing phenomenon and is expected to provide reference for knowledge dissemination platforms in order to improve the knowledge sharing environment in smart cities.
- speech,
- relationship network,
- sentiment analysis,
- textual analysis,
- smart cities
Citation: Chengzhi Jiang, Hao Xu, Chuanfeng Huang, Yiyang Chen, Ruoqi Zou, Yixiu Wang. Research on knowledge dissemination in smart cities environment based on intelligent analysis algorithms: a case study on online platform[J]. Mathematical Biosciences and Engineering, 2021, 18(3): 2632-2653. doi: 10.3934/mbe.2021134

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Abstract

In developing smart cities, the implementation of social connections, collaboration, innovation, exchange of views by observing, exploiting and integrating various types of knowledge is required. The smart cities concept that employs knowledge sharing mechanism can be defined as the concept of a city that utilizes information technology to increase citizens' awareness, intelligence as well as community's participation. The knowledge dissemination via online sharing platforms has been becoming more popular in recent years, especially during the epidemic of infectious diseases. Thus, the social network and emotional analysis method based on intelligent data analysis algorithms is proposed to study the speaker relationship and comment sentiment tendency of a Chinese popular speech (knowledge dissemination) platform: YiXi. In our research, 690 speakers' information and 23,685 comments' information are collected from YiXi website as the data source. The speaker relationship network construction algorithm and emotional analysis algorithm are designed in details respectively. Experiments show that speakers who have the same profession can deliver different types of speeches, indicating that selection of YiXi platform in the invitation of speakers is diversified. In addition, overall sentiment tendency of comments on speeches seem to be slightly positive and most of them are the personal feelings according to their experience after watching speech videos instead of the direct evaluations of speech quality. The research aims to gain an insight into the popular knowledge sharing phenomenon and is expected to provide reference for knowledge dissemination platforms in order to improve the knowledge sharing environment in smart cities.

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