Sentiment Analysis as a Service: A Social Media Based Sentiment Analysis Framework
Author | Ali, Kashif |
Author | Dong, Hai |
Author | Bouguettaya, Athman |
Author | Erradi, Abdelkarim |
Author | Hadjidj, Rachid |
Available date | 2020-11-19T08:53:10Z |
Publication Date | 2017 |
Publication Name | Proceedings - 2017 IEEE 24th International Conference on Web Services, ICWS 2017 |
Resource | Scopus |
Abstract | We propose a 'Sentiment Analysis as a Service' (SAaaS) framework that abstracts sentiments from social information services, analyses and transforms into useful information. We propose a dynamic service composition mechanism for sentiment analysis based on the social information service classification. We also propose a new quality model to assess the quality of social information services. We use social media based public health surveillance as a motivating scenario. In particular, we focus on the spatio-temporal properties of social media users' sentiments to identify the locations of disease outbreaks. Experiments are conducted on the real-world datasets. Analytical results preliminarily show the performance of our proposed approach. |
Sponsor | ACKNOWLEDGEMENTS This publication was made possible by NPRP grant 9-224-1-049 from the Qatar National Research Fund (a member of Qatar Foundation) and DP150100149 from the Australian Research Council. The findings achieved herein are solely the responsibility of the authors. REFERENCES |
Language | en |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Subject | sentiment analysis service composition service quality Social information services spatio-temporal |
Type | Conference Paper |
Pagination | 660-667 |
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Computer Science & Engineering [2127 items ]