Conference proceeding
Towards a Service-Oriented Architecture for Pre-Processing Crowd-Sourced Sentiment from Twitter
2019 IEEE International Conference on Web Services (ICWS)
Jul 2019
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Online social media platforms like Twitter, provide opinion rich repositories for conducting sentiment analysis. Users engage in open discussions on a variety of topics across a wide cross-section of problem domains. Commercial, government, educational, non-profit and other types of agencies are increasingly relying on extracting conversations on Twitter to determine the general sentiment of the public on particular topics, products, services and issues. Despite being readily available and in abundance, it is also laced with nuances which can disrupt, skew and potentially lead to inaccurate analysis if not handled properly. In this paper, we propose an SOA framework to enable the pre-processing of data origination on Twitter, and configurable components that allow data consumers to filter the data using useful social media signals.
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Details
- Title
- Towards a Service-Oriented Architecture for Pre-Processing Crowd-Sourced Sentiment from Twitter
- Creators
- Julian Jarrett - Drexel UniversityKimberley Hemmings-Jarrett - Drexel UniversityM. Brian Blake - Drexel University
- Publication Details
- 2019 IEEE International Conference on Web Services (ICWS)
- Publisher
- IEEE
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Information Science
- Web of Science ID
- WOS:000517091800024
- Scopus ID
- 2-s2.0-85072776964
- Other Identifier
- 991019319086704721
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- Web of Science research areas
- Computer Science, Interdisciplinary Applications
- Computer Science, Theory & Methods