summer intern @IITPATNA

github

Sneha Kumari  • Peerlist

In this project, firstly , I have created ground truth summary of length of 200 words of 1000 input tweet files belonging to 15 disaster events of 400 words. Furthermore,  I have evaluated the  state-of-the-art Longformer model using the tweet summary pairs and generated the summary for 10 different disaster events. 
In addition to this, I have also performed fine tuning of the Longformer model using ROUGE- F1 SCORE to evaluate the performance of different disaster datasets.

Abstractive Tweet Summarization for Disaster Events

In this project, I have:

Cleaned and modified the dataset using Excel 🧹
Gained valuable insights by running SQL queries 🔍
Created an interactive Power BI dashboard to visualize the data 📈
This project has been an incredible learning experience, and I'm proud to share my work.