5 citations · 6 across the 6 of their papers we have counts for
7 papers
#EpiTwitter: Public Health Messaging During the COVID-19 Pandemic
Ashwin Rao, Nazanin Sabri, Siyi Guo +2
Effective communication during health crises is critical, with social media serving as a key platform for public health experts (PHEs) to engage with the public. However, it also a…
Does Geo-co-location Matter? A Case Study of Public Health Conversations during COVID-19
Paiheng Xu, Louiqa Raschid, Vanessa Frias-Martinez
Social media platforms like Twitter (now X) have been pivotal in information dissemination and public engagement. The objective of our research is to analyze the effect of localize…
Predicting the Behavior of Dealers in Over-The-Counter Corporate Bond Markets
Yusen Lin, Jinming Xue, Louiqa Raschid
Trading in Over-The-Counter (OTC) markets is facilitated by broker-dealers, in comparison to public exchanges, e.g., the New York Stock Exchange (NYSE). Dealers play an important r…
Modeling Financial Products and their Supply Chains
Margret Bjarnadottir, Louiqa Raschid
The objective of this paper is to explore how financial big data and machine learning methods can be applied to model and understand financial products. We focus on residential mor…
Query Scheduling in the Presence of Complex User Profiles
Haggai Roitman, Avigdor Gal, Louiqa Raschid
Advances in Web technology enable personalization proxies that assist users in satisfying their complex information monitoring and aggregation needs through the repeated querying o…
Non-negative Factorization of the Occurrence Tensor from Financial Contracts
Zheng Xu, Furong Huang, Louiqa Raschid +1
We propose an algorithm for the non-negative factorization of an occurrence tensor built from heterogeneous networks. We use l0 norm to model sparse errors over discrete values (oc…
Exploiting Lists of Names for Named Entity Identification of Financial Institutions from Unstructured Documents
Zheng Xu, Douglas Burdick, Louiqa Raschid
There is a wealth of information about financial systems that is embedded in document collections. In this paper, we focus on a specialized text extraction task for this domain. Th…