John G. Breslin

Data Selection Strategies for Multi-Domain Sentiment Analysis

2017 · arXiv (Cornell University)

Domain adaptation is important in sentiment analysis as sentiment-indicating words vary between domains. Recently, multi-domain adaptation has become more pervasive, but existing approaches train on all available source domains including dissimilar ones. However, the selection …

Towards a continuous modeling of natural language domains

2016 · arXiv (Cornell University)

Humans continuously adapt their style and language to a variety of domains. However, a reliable definition of `domain' has eluded researchers thus far. Additionally, the notion of discrete domains stands in contrast to the multiplicity …

Not So Atomic Payments: A Supply Chain Example

2023

The advent of blockchain as a technology is revolutionizing the supply chain domain with its tamper-proof and traceable architecture. However, the blockchain must be fed with accurate data to actualize its immutability, especially in supply …

TransformerFusionNet: A Real-Time Multimodal Framework for ICU Heart Failure Mortality Prediction Using Big Data Streaming

2024

This paper presents a real-time multimodal frame-work to enhance ICU mortality prediction for heart disease patients by integrating structured data, clinical notes, and big data streaming platforms. The proposed framework comprises two components: an offline …