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Strengths and limitations of text mining tools presented in this work.

Strengths and limitations of text mining tools presented in this work.

<p>(+) denotes a strength, and (-) denotes a limitation.</p>

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Bibliographic Details
Main Author: Julia C. Lensing (20521847) (author)
Other Authors: John Y. Choe (20390917) (author), Branden B. Johnson (6312122) (author), Jingwen Wang (219000) (author)
Published: 2025
Subjects:
Biotechnology
Cancer
Science Policy
Environmental Sciences not elsewhere classified
Biological Sciences not elsewhere classified
published daily worldwide
made publicly available
level emergency management
gpt ), offer
disrupt lifeline infrastructures
survey results highlight
known risk associated
allowing future generations
reveals potential differences
potential user groups
div >< p
practical disaster reports
case study illustrates
practical reports
future disasters
case study
brief survey
vital resources
various forms
trained transformer
text mining
supporting data
response plans
resiliency plans
reports serve
primarily interpretable
practice due
past events
pacific northwest
oregon state
limited impact
impact assessments
generative pre
explore opportunities
experienced professionals
ensure reproducibility
challenges associated
better mitigate
action reports
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