Any Publicity is Good Publicity: Positive, Negative and Neutral Tweets Can All Become Trends
Anecdotal evidence suggests that Twitter trends are characterised by highly polarised tweets. However, specific experiments intended to measure the correlation between the emergence of a trend and the overall sentiment expressed on it have been few and limited. Thus, we have launched an investigatio...
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Published in | 2020 39th International Conference of the Chilean Computer Science Society (SCCC) pp. 1 - 8 |
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Main Authors | , |
Format | Conference Proceeding |
Language | English |
Published |
IEEE
16.11.2020
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Subjects | |
Online Access | Get full text |
DOI | 10.1109/SCCC51225.2020.9281266 |
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Abstract | Anecdotal evidence suggests that Twitter trends are characterised by highly polarised tweets. However, specific experiments intended to measure the correlation between the emergence of a trend and the overall sentiment expressed on it have been few and limited. Thus, we have launched an investigation to ascertain the nature of the relationship between trends and strength of sentiment. As a testbed for our experimentation, we have retrieved a large collection of tweets related to the COVID19 pandemic, in the particular context of the UK Government briefings broadcasted in the media. Our results highlight the presence of a significant percentage of trends with a nearly neutral sentiment. Indeed, there does not seem to be an apparent correlation between trends and polarity. |
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AbstractList | Anecdotal evidence suggests that Twitter trends are characterised by highly polarised tweets. However, specific experiments intended to measure the correlation between the emergence of a trend and the overall sentiment expressed on it have been few and limited. Thus, we have launched an investigation to ascertain the nature of the relationship between trends and strength of sentiment. As a testbed for our experimentation, we have retrieved a large collection of tweets related to the COVID19 pandemic, in the particular context of the UK Government briefings broadcasted in the media. Our results highlight the presence of a significant percentage of trends with a nearly neutral sentiment. Indeed, there does not seem to be an apparent correlation between trends and polarity. |
Author | Palomino, Marco A. Padmanabhan Varma, Aditya |
Author_xml | – sequence: 1 givenname: Marco A. surname: Palomino fullname: Palomino, Marco A. email: marco.palomino@plymouth.ac.uk organization: University of Plymouth,School of Engineering Computing and Mathematics (SECaM),Plymouth,UK – sequence: 2 givenname: Aditya surname: Padmanabhan Varma fullname: Padmanabhan Varma, Aditya email: adityapvarma@gmail.com organization: Vellore Institute of Technology,School of Electronics Engineering,Chennai,India |
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SubjectTerms | sentiment analysis SentiStrength Social media TextBlob trending topics |
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Title | Any Publicity is Good Publicity: Positive, Negative and Neutral Tweets Can All Become Trends |
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