@inproceedings{04705dba1c29474696a1f17555e2e97e,
title = "Exploration of Social Media Opinions on Innovation for Sustainable Development Goals by Topic Modeling and Sentiment Analysis",
abstract = "This research utilizes social knowledge extracted from user-generated content from Twitter to identify the social media users{\textquoteright} concerns on different domains of innovation regarding Sustainable Development Goals (SDGs) during 4 years, whereby understanding the emotional expression of public opinion upon those SDGs innovation dimensions. Topic analysis with latent semantic approach is the most suitable approach for exploring topics of interest from large text corpus; while sentiment analysis using Python-based library Vader is effective to investigate the Twitter users{\textquoteright} sentiment underneath those extracted topics. The importance of gender equality and youth empowerment on innovation; and the innovation in sustainable agriculture, education, eco-friendly materials, green energy, and economic development are intensively discussed topics. The component-terms of corresponding topics in different years are further scrutinized to highlight the evolution of Twitter users{\textquoteright} concerns on a particular innovation dimension. The result of sentiment analysis suggests the predominance of “very positive” and “positive” sentiment in almost topics during 4 years. The “neutral” sentiment prevails in a certain topic that generally addresses many angles of SDGs innovation in its majority of tweets without focusing on any specific dimensions. The high of “negative” sentiment during 4 years is noticed in the agriculture innovation topic in 2018.",
keywords = "Innovation, SDGs, Sentiment analysis, Topic analysis, Twitter",
author = "Shen, {Chien wen} and Luong, {Thai Ha} and Tuan Pham",
note = "Publisher Copyright: {\textcopyright} 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.; International Research and Innovation Forum, RIIFORUM 2020 ; Conference date: 15-04-2020 Through 17-04-2020",
year = "2021",
doi = "10.1007/978-3-030-62066-0_35",
language = "???core.languages.en_GB???",
isbn = "9783030620653",
series = "Springer Proceedings in Complexity",
publisher = "Springer Science and Business Media B.V.",
pages = "459--471",
editor = "Anna Visvizi and Lytras, {Miltiadis D.} and Aljohani, {Naif R.}",
booktitle = "Research and Innovation Forum 2020 - Disruptive Technologies in Times of Change",
}