About this document
Social Media Sentiment Analysis for Disasters by Godwin Sam is a document available to read on EtoBox.
The project report focuses on utilizing sentiment analysis from social media posts to enhance disaster management efforts. By employing deep learning techniques such as Gated Recurrent Unit (GRU) and Convolutional Neural Network (CNN), the study aims to analyze emotional responses during disasters, providing valuable insights for resource allocation and crisis management. The report outlines the methodology, experimental results, and the potential benefits of integrating social media data into disaster resp
- Author
- Godwin Sam
- Language
- EN