Michelle Bensi
Biographic Data
| ID | 9720347 |
|---|---|
| NAME | Michelle Bensi |
| GIVEN NAMES | Michelle |
| FAMILY NAME | Bensi |
| SIGNATURE | BENSI M |
| AFFILIATIONS | University of Maryland, College Park |
| ORCID | 0000-0001-6449-1812 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 3 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2023 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 0 |
Surveying the Use of Social Media Data and Natural Language Processing Techniques to Investigate Natural Disasters
The use of social media in crisis informatics has become increasingly popular across a range of disciplines. Leveraging natural language processing (NLP) techniques enables the analysis of textual data in novel ways and facilitates the use of social media data in disaster management. Analyzing text from social media with NLP can enhance situational awareness, accelerate information dissemination, and monitor affected communities, which is crucial…
Exploring the potential of social media crowdsourcing for post-earthquake damage assessment
Expanding Vulnerability Indices for Pandemic Effects
In this study, our goal is to identify potentially vulnerable communities that could be subject to ongoing or compounding impacts from the pandemic and/or that may experience a slower recovery due to sociodemographic factors. For this purpose, we compiled information from multiple databases related to sociodemographic and health variables. We used a ranking-based method to integrate them and develop new combined indices. We also investigated a ti…
No prominent works on this page.
Exploring the potential of social media crowdsourcing for post-earthquake damage assessment
Expanding Vulnerability Indices for Pandemic Effects
In this study, our goal is to identify potentially vulnerable communities that could be subject to ongoing or compounding impacts from the pandemic and/or that may experience a slower recovery due to sociodemographic factors. For this purpose, we compiled information from multiple databases related to sociodemographic and health variables. We used a ranking-based method to integrate them and develop new combined indices. We also investigated a ti…
Surveying the Use of Social Media Data and Natural Language Processing Techniques to Investigate Natural Disasters
The use of social media in crisis informatics has become increasingly popular across a range of disciplines. Leveraging natural language processing (NLP) techniques enables the analysis of textual data in novel ways and facilitates the use of social media data in disaster management. Analyzing text from social media with NLP can enhance situational awareness, accelerate information dissemination, and monitor affected communities, which is crucial…
Computer Science (3 works) · Disaster Management and Resilience (3 works) · Data science (2 works) · Engineering (2 works) · Geography (2 works) · Public Relations and Crisis Communication (2 works) · Social media (2 works) · World Wide Web (2 works) · Business (1 works) · Climate change (1 works)