COVID-19 outbreak: An ensemble pre-trained deep learning model for detecting informative tweets
SJ Malla, PJA Alphonse - Applied Soft Computing, 2021 - Elsevier
Abstract On 11 March 2020, the (WHO) World Health Organization declared COVID-19
(CoronaVirus Disease 2019) as a pandemic. A further crisis has manifested mass fear and …
(CoronaVirus Disease 2019) as a pandemic. A further crisis has manifested mass fear and …
Applying and understanding an advanced, novel deep learning approach: A Covid 19, text based, emotions analysis study
The pandemic COVID 19 has altered individuals' daily lives across the globe. It has led to
preventive measures such as physical distancing to be imposed on individuals and led to …
preventive measures such as physical distancing to be imposed on individuals and led to …
The surprising performance of simple baselines for misinformation detection
As social media becomes increasingly prominent in our day to day lives, it is increasingly
important to detect informative content and prevent the spread of disinformation and …
important to detect informative content and prevent the spread of disinformation and …
WNUT-2020 task 2: identification of informative COVID-19 english tweets
In this paper, we provide an overview of the WNUT-2020 shared task on the identification of
informative COVID-19 English Tweets. We describe how we construct a corpus of 10K …
informative COVID-19 English Tweets. We describe how we construct a corpus of 10K …
Novel fuzzy deep learning approach for automated detection of useful COVID-19 tweets
Abstract Coronavirus (COVID-19) is a newly discovered viral disease from the SARS-CoV-2
family. This has caused a moral panic resulting in the spread of informative and …
family. This has caused a moral panic resulting in the spread of informative and …
A review of deep learning techniques for disaster management in social media: trends and challenges
TDN Pavani, SJ Malla - The European Physical Journal Special Topics, 2024 - Springer
In the present era, social media platforms have increasingly become invaluable sources of
information and connectivity. Twitter (X) is one of the social media landscape's most …
information and connectivity. Twitter (X) is one of the social media landscape's most …
Identifying COVID-19 personal health mentions from tweets using masked attention model
L Luo, Y Wang, DY Mo - IEEE Access, 2022 - ieeexplore.ieee.org
Twitter has been an important platform for people to discuss and share health-related
information. It provides a massive amount of data for real-time monitoring of infectious …
information. It provides a massive amount of data for real-time monitoring of infectious …
Searching for chromate replacements using natural language processing and machine learning algorithms
S Zhao, N Birbilis - NPJ Materials Degradation, 2023 - nature.com
The past few years have seen the application of machine learning utilised in the exploration
of materials. As in many fields of research—the vast majority of knowledge is published as …
of materials. As in many fields of research—the vast majority of knowledge is published as …
Identifying covid-19 english informative tweets using limited labelled data
S Kothuru, A Santhanavijayan - Social Network Analysis and Mining, 2023 - Springer
Identifying COVID-19 informative tweets is very useful in building monitoring systems to track
the latest updates. Existing approaches to identify informative tweets rely on a large number …
the latest updates. Existing approaches to identify informative tweets rely on a large number …
Classifying informative tweets using feature enhanced pre-trained language model
PB Yandrapati, R Eswari - Social Network Analysis and Mining, 2024 - Springer
Classifying tweets containing valuable information about COVID-19 is crucial for developing
monitoring systems that provide the latest updates. Existing approaches for informative tweet …
monitoring systems that provide the latest updates. Existing approaches for informative tweet …