Covid-Transformer: Detecting COVID-19 Trending Topics on Twitter Using Universal Sentence Encoder

8 September 2020

Papers citing "Covid-Transformer: Detecting COVID-19 Trending Topics on Twitter Using Universal Sentence Encoder"

4 / 4 papers shown

Title
Zero-Shot Multi-Label Topic Inference with Sentence Encoders Souvik Sarkar Dongji Feng Shubhra (Santu) Karmaker BDL 19 6 0 14 Apr 2023
A Human Word Association based model for topic detection in social networks Mehrdad Ranjbar-Khadivi Shahin Akbarpour M. Feizi-Derakhshi B. Anari 19 3 0 30 Jan 2023
An Exploratory Study of Tweets about the SARS-CoV-2 Omicron Variant: Insights from Sentiment Analysis, Language Interpretation, Source Tracking, Type Classification, and Embedded URL Detection Nirmalya Thakur Chia Y. Han 34 37 0 20 Jul 2022
COVID TV-UNet: Segmenting COVID-19 Chest CT Images Using Connectivity Imposed U-Net N. Saeedizadeh Shervin Minaee R. Kafieh Shakib Yazdani Milan Sonka 17 43 0 24 Jul 2020