IMPLEMENTING THE EXTRACTIVE DISASTER TWEET SUMMARIZATION ALGORITHMS AND ANALYZING THEIR EFFICIENCY

Authors

  • Karuna Middha Maharaja Agrasen Institute of Technology (Assistant Professor) GGSIPU,Delhi, India
  • Harshit Garg Maharaja Agrasen Institute of Technology (CSE) GGSIPU,Delhi, India
  • Kshem Sharma Maharaja Agrasen Institute of Technology (CSE) GGSIPU,Delhi, India
  • Rohan Aggarwal Maharaja Agrasen Institute of Technology (CSE) GGSIPU,Delhi, India

Keywords:

Twitter, Extractive Summarization, Comparison Evaluation, Rouge

Abstract

Social Media Websites, predominantly Twitter have become important sources for real-time situational information during emergency events like the entire country witnessed during the second wave of Covid-19 in our country. People turned to each other for help to arrange for beds, oxygen concentrators, etc. Since hundreds to thousands of microblogs or tweets are generally posted on Twitter during an emergency event, manually going through every tweet is not feasible. In such a scenario, it is critical to summarize the microblogs (tweets) and present informative summaries to the people who are attempting to respond to the disaster.

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How to Cite

Karuna Middha, Harshit Garg, Kshem Sharma, & Rohan Aggarwal. (2022). IMPLEMENTING THE EXTRACTIVE DISASTER TWEET SUMMARIZATION ALGORITHMS AND ANALYZING THEIR EFFICIENCY. EPRA International Journal of Research and Development (IJRD), 7(5), 194–199. Retrieved from https://eprajournals.net/index.php/IJRD/article/view/457

Issue

Vol. 7 No. 5 (2022): EPRA International Journal of Research and Development (IJRD)

Section

Articles