Web: http://arxiv.org/abs/2209.10966

Sept. 23, 2022, 1:15 a.m. | Anmol Bansal, Arjun Choudhry, Anubhav Sharma, Seba Susan

cs.CL updates on arXiv.org arxiv.org

Covid-19 has spread across the world and several vaccines have been developed
to counter its surge. To identify the correct sentiments associated with the
vaccines from social media posts, we fine-tune various state-of-the-art
pre-trained transformer models on tweets associated with Covid-19 vaccines.
Specifically, we use the recently introduced state-of-the-art pre-trained
transformer models RoBERTa, XLNet and BERT, and the domain-specific transformer
models CT-BERT and BERTweet that are pre-trained on Covid-19 tweets. We further
explore the option of text augmentation by oversampling …

analysis arxiv covid covid-19 media oversampling sentiment sentiment analysis social social media text transformer transformer models vaccines

More from arxiv.org / cs.CL updates on arXiv.org

Postdoctoral Fellow: ML for autonomous materials discovery

@ Lawrence Berkeley National Lab | Berkeley, CA

Research Scientists

@ ODU Research Foundation | Norfolk, Virginia

Embedded Systems Engineer (Robotics)

@ Neo Cybernetica | Bedford, New Hampshire

2023 Luis J. Alvarez and Admiral Grace M. Hopper Postdoc Fellowship in Computing Sciences

@ Lawrence Berkeley National Lab | San Francisco, CA

Senior Manager Data Scientist

@ NAV | Remote, US

Senior AI Research Scientist

@ Earth Species Project | Remote anywhere

Research Fellow- Center for Security and Emerging Technology (Multiple Opportunities)

@ University of California Davis | Washington, DC

Staff Fellow - Data Scientist

@ U.S. FDA/Center for Devices and Radiological Health | Silver Spring, Maryland

Staff Fellow - Senior Data Engineer

@ U.S. FDA/Center for Devices and Radiological Health | Silver Spring, Maryland

Research Engineer - VFX, Neural Compositing

@ Flawless | Los Angeles, California, United States

[Job-TB] Senior Data Engineer

@ CI&T | Brazil

Data Analytics Engineer

@ The Fork | Paris, France