The Characteristics of SDGs of Internet Enterprises Based on Text Mining
- DOI
- 10.2991/978-94-6463-005-3_34How to use a DOI?
- Keywords
- SDGs; Internet enterprises; Association rules; Co-occurrence clustering
- Abstract
Internet enterprises play an important role in promoting the process of global sustainable development. Based on association rules and keyword co-occurrence clustering, this paper studies the sustainable development report issued by Internet enterprises. This paper obtains the sustainable development reports released by Baidu, Alibaba and Tencent, the three largest Internet companies in China from 2016 to 2020, and extracts 919 project text information. After text classification, this paper finds that the implementation of enterprise business is more related to SDG1, 3, 8 and 9. The association rules are used to identify the relevant keywords in the text. It is found that “technology” and “platform” are the keywords of multiple goals. The keyword co-occurrence clustering method is used to carry out visual analysis of the keywords under each sustainable development goal. The research results describe the characteristics, degree and way of implementation of the sustainable development agenda and SDGs in Internet enterprises.
- Copyright
- © 2023 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Wanyi Zhang AU - Xiang Xie PY - 2022 DA - 2022/11/10 TI - The Characteristics of SDGs of Internet Enterprises Based on Text Mining BT - Proceedings of the 2022 3rd International Conference on E-commerce and Internet Technology (ECIT 2022) PB - Atlantis Press SP - 348 EP - 358 SN - 2589-4943 UR - https://doi.org/10.2991/978-94-6463-005-3_34 DO - 10.2991/978-94-6463-005-3_34 ID - Zhang2022 ER -