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Public Reaction to Scientific Research via Twitter Sentiment Prediction
September 11, 2022 Β· Declared Dead Β· π Journal of Data and Information Science (2022), Volume 7, Issue 1, 97-124
"No code URL or promise found in abstract"
Evidence collected by the PWNC Scanner
Authors
Murtuza Shahzad, Hamed Alhoori
arXiv ID
2209.07333
Category
cs.IR: Information Retrieval
Cross-listed
cs.AI,
cs.LG,
cs.SI
Citations
0
Venue
Journal of Data and Information Science (2022), Volume 7, Issue 1, 97-124
Last Checked
4 months ago
Abstract
Social media users share their ideas, thoughts, and emotions with other users. However, it is not clear how online users would respond to new research outcomes. This study aims to predict the nature of the emotions expressed by Twitter users toward scientific publications. Additionally, we investigate what features of the research articles help in such prediction. Identifying the sentiments of research articles on social media will help scientists gauge a new societal impact of their research articles.
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