Sentiment Analysis as a Service: A Social Media Based Sentiment Analysis Framework
المؤلف | Ali, Kashif |
المؤلف | Dong, Hai |
المؤلف | Bouguettaya, Athman |
المؤلف | Erradi, Abdelkarim |
المؤلف | Hadjidj, Rachid |
تاريخ الإتاحة | 2020-11-19T08:53:10Z |
تاريخ النشر | 2017 |
اسم المنشور | Proceedings - 2017 IEEE 24th International Conference on Web Services, ICWS 2017 |
المصدر | Scopus |
الملخص | 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. |
راعي المشروع | 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 |
اللغة | en |
الناشر | Institute of Electrical and Electronics Engineers Inc. |
الموضوع | sentiment analysis service composition service quality Social information services spatio-temporal |
النوع | Conference Paper |
الصفحات | 660-667 |
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