333 citations · 607 across the 15 of their papers we have counts for
18 papers
Benchmarking for Public Health Surveillance tasks on Social Media with a Domain-Specific Pretrained Language Model
Usman Naseem, Byoung Chan Lee, Matloob Khushi +2
A user-generated text on social media enables health workers to keep track of information, identify possible outbreaks, forecast disease trends, monitor emergency cases, and ascert…
Clustering and attention model based for intelligent trading
Mimansa Rana, Nanxiang Mao, Ming Ao +3
The foreign exchange market has taken an important role in the global financial market. While foreign exchange trading brings high-yield opportunities to investors, it also brings…
Benchmarking for Biomedical Natural Language Processing Tasks with a Domain Specific ALBERT
Usman Naseem, Adam G. Dunn, Matloob Khushi +1
The availability of biomedical text data and advances in natural language processing (NLP) have made new applications in biomedical NLP possible. Language models trained or fine tu…
Feature importance recap and stacking models for forex price prediction
Yunze Li, Yanan Xie, Chen Yu +3
Forex trading is the largest market in terms of qutantitative trading. Traditionally, traders refer to technical analysis based on the historical data to make decisions and trade.…
Classifying vaccine sentiment tweets by modelling domain-specific representation and commonsense knowledge into context-aware attentive GRU
Usman Naseem, Matloob Khushi, Jinman Kim +1
Vaccines are an important public health measure, but vaccine hesitancy and refusal can create clusters of low vaccine coverage and reduce the effectiveness of vaccination programs.…
Text Mining of Stocktwits Data for Predicting Stock Prices
Mukul Jaggi, Priyanka Mandal, Shreya Narang +2
Stock price prediction can be made more efficient by considering the price fluctuations and understanding the sentiments of people. A limited number of models understand financial…