Generating and Summarizing worldwide Covid-۱۹ reports using Abstractive and Extractive NLP

سال انتشار: 1401
نوع سند: مقاله کنفرانسی
زبان: فارسی
مشاهده: 196

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شناسه ملی سند علمی:

CEITCONF06_074

تاریخ نمایه سازی: 10 مرداد 1402

چکیده مقاله:

Since the beginning of the Covid-۱۹ outbreak, each country has experienced substantial changes regarding the burden of the disease. Accordingly, the volume of Covid-۱۹ data has expanded in size and variety.[۱] Authorities, news services, and the public find it too challenging to stay aware of new happenings about the disease. It is, therefore, vital to help the public and policymakers catch up with the latest news about the pandemic using an easy-to-understand report. This project aims to produce an accessible application in Python that can retrieve Covid-۱۹ data, generate a well-structured text report, and create two reviews based on the Extractive and Abstractive NLP (Natural Language Processing) summarization approaches without any grammatical errors.

نویسندگان

Arman Feili

Student

Amin Feili

General Practitioner

Iman Badrooh

Lecturer