Social Media for Disaster Response: Hurricane Tweet Classification
Machine learning model to analyze and categorize post-hurricane tweets, enabling faster and more effective disaster response
There has been a lot of existing similar work tackling this issue. I learned a lot from them.
My goal was to explore and deepen my understanding of machine learning in the field of Natural Language Processing and how it can be applied to real-world problems.
I built my model by refining it’s classification framework and training the model on new data
The project aims to facilitate the process of recovery, efficiently addressing the needs of those affected, helping responders make better-informed decisions
