@inproceedings{5eb2cdfb73164911a4d542fe897824be,
title = "Public opinion toward social business from a social media perspective",
abstract = "Social media has become a crucial tool used by social businesses (SBs) to manage their public relationships. Hence, understanding what SB means to the public would provide businesses with additional insights that they could apply to social promotion and marketing. We retrieved more than 200,000 tweets containing the words “social business” and utilized text mining algorithms to extract the SB status. The mining results provide marketers with insights that they can apply when making decisions about SB marketing and promotion and provide policymakers with the information necessary to design an SB ecosystem. Our approach contributes a broad view on SB to the literature and differs from conventional methods, such as case studies, surveys, and statistical analyses.",
keywords = "Social business, Social media, Text mining, Twitter",
author = "Shen, {Chien Wen} and Ho, {Jung Tsung}",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing AG, part of Springer Nature 2018.; 3rd International Conference on Data Mining and Big Data, DMBD 2018 held in conjunction with the 9th International Conference on Swarm Intelligence, ICSI 2018 ; Conference date: 17-06-2018 Through 22-06-2018",
year = "2018",
doi = "10.1007/978-3-319-93803-5_52",
language = "???core.languages.en_GB???",
isbn = "9783319938028",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "555--562",
editor = "Yuhui Shi and Qirong Tang and Ying Tan",
booktitle = "Data Mining and Big Data - 3rd International Conference, DMBD 2018, Proceedings",
}