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The Social Media Macroscope (SMM) project presents SMILE (Social Media Intelligence and Learning Environment), a user-friendly and open-source science gateway for social media research. SMILE utilizes CIlogon, an identity management platform, for identity and access control and offers data collection from platforms like Twitter and Reddit, as well as features for natural language processing, sentiment analysis, network analysis, and machine learning classification. It adopts a microservice architecture with Docker containers for portability and scalability, deploying applications using Kubernetes and Helm charts. Additionally, SMILE enables seamless data sharing through integration with NCSA Clowder, a widely adopted framework in science gateways.
Container Technologies, Text Mining, Cloud Computing, Research Computing Infrastructure, NLP, Science Gateways, Data Management, Natural Language Processing
Container Technologies, Text Mining, Cloud Computing, Research Computing Infrastructure, NLP, Science Gateways, Data Management, Natural Language Processing
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |