Building tools and frameworks for large-scale social media mining (by Dr. Juan M. Banda)
◾ Title: Building tools and frameworks for large-scale social media mining: Creating data infrastructure for COVID-19 research.
Slides: https://www.dropbox.com/s/fblk0h56jqohjeq/Building_tools_and_frameworks_for_large-scale_social_media_mining_7-22-2020.pptx?dl=0
◾ Speaker: Dr. Juan M. Banda
◾ Twitter: @drjmbanda
◾ Talk Description
In this talk we will discuss the motivation and rationale behind our Social Media Mining Toolkit (SMMT) (https://github.com/thepanacealab/SMMT), and how to use it to define frameworks for large-scale social media data gathering for NLP and machine learning research projects. We will outline all the lessons learned, mistakes, and hard decisions made to produce and maintain a publicly available large-scale dataset of COVID-19 Twitter chatter data featuring over 424 Million Tweets in 60+ languages and from 60+ countries (https://zenodo.org/record/3911930).
◾ About Speaker:
Dr. Juan M. Banda (http://www.jmbanda.com) at his GSU lab, Panacea Lab (http://www.panacealab.org/), works on building machine learning, computer vision, and NLP methods that help to generate insights from multi-modal large-scale data sources. With applications to precision medicine, medical informatics, astroinformatics as well as other domains.
Dr. Banda has published over 50 peer reviewed conference and journal papers. Prior to being an assistant professor of Computer Science at Georgia State University, Dr. Banda was a postdoctoral scholar, then a research scientist at Stanford’s center of Biomedical Informatics. He is an active collaborator of the Observational Health Data Sciences and Informatics and his work has been funded by the Department of Veteran Affairs, National Institute of Aging as well as NASA, NSF and NIH.
◾ About dair.ai
Website: https://dair.ai/
GitHub: https://github.com/dair-ai
Twitter: https://twitter.com/dair_ai
Newsletter: https://dair.ai/newsletter/
Slack: https://join.slack.com/t/dairai/shared_invite/zt-dv2dwzj7-F9HT047jIGkunNKv88lQ~g
Видео Building tools and frameworks for large-scale social media mining (by Dr. Juan M. Banda) канала Elvis Saravia
Slides: https://www.dropbox.com/s/fblk0h56jqohjeq/Building_tools_and_frameworks_for_large-scale_social_media_mining_7-22-2020.pptx?dl=0
◾ Speaker: Dr. Juan M. Banda
◾ Twitter: @drjmbanda
◾ Talk Description
In this talk we will discuss the motivation and rationale behind our Social Media Mining Toolkit (SMMT) (https://github.com/thepanacealab/SMMT), and how to use it to define frameworks for large-scale social media data gathering for NLP and machine learning research projects. We will outline all the lessons learned, mistakes, and hard decisions made to produce and maintain a publicly available large-scale dataset of COVID-19 Twitter chatter data featuring over 424 Million Tweets in 60+ languages and from 60+ countries (https://zenodo.org/record/3911930).
◾ About Speaker:
Dr. Juan M. Banda (http://www.jmbanda.com) at his GSU lab, Panacea Lab (http://www.panacealab.org/), works on building machine learning, computer vision, and NLP methods that help to generate insights from multi-modal large-scale data sources. With applications to precision medicine, medical informatics, astroinformatics as well as other domains.
Dr. Banda has published over 50 peer reviewed conference and journal papers. Prior to being an assistant professor of Computer Science at Georgia State University, Dr. Banda was a postdoctoral scholar, then a research scientist at Stanford’s center of Biomedical Informatics. He is an active collaborator of the Observational Health Data Sciences and Informatics and his work has been funded by the Department of Veteran Affairs, National Institute of Aging as well as NASA, NSF and NIH.
◾ About dair.ai
Website: https://dair.ai/
GitHub: https://github.com/dair-ai
Twitter: https://twitter.com/dair_ai
Newsletter: https://dair.ai/newsletter/
Slack: https://join.slack.com/t/dairai/shared_invite/zt-dv2dwzj7-F9HT047jIGkunNKv88lQ~g
Видео Building tools and frameworks for large-scale social media mining (by Dr. Juan M. Banda) канала Elvis Saravia
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