4 citations · 6 across the 5 of their papers we have counts for
5 papers
A Novel, Human-in-the-Loop Computational Grounded Theory Framework for Big Social Data
Lama Alqazlan, Zheng Fang, Michael Castelle +1
The availability of big data has significantly influenced the possibilities and methodological choices for conducting large-scale behavioural and social science research. In the co…
Machine Learning Information Retrieval and Summarisation to Support Systematic Review on Outcomes Based Contracting
Iman Munire Bilal, Zheng Fang, Miguel Arana-Catania +6
As academic literature proliferates, traditional review methods are increasingly challenged by the sheer volume and diversity of available research. This article presents a study t…
SyROCCo: Enhancing Systematic Reviews using Machine Learning
Zheng Fang, Miguel Arana-Catania, Felix-Anselm van Lier +5
The sheer number of research outputs published every year makes systematic reviewing increasingly time- and resource-intensive. This paper explores the use of machine learning tech…
Multi-Layer Ranking with Large Language Models for News Source Recommendation
Wenjia Zhang, Lin Gui, Rob Procter +1
To seek reliable information sources for news events, we introduce a novel task of expert recommendation, which aims to identify trustworthy sources based on their previously quote…
CWTM: Leveraging Contextualized Word Embeddings from BERT for Neural Topic Modeling
Zheng Fang, Yulan He, Rob Procter
Most existing topic models rely on bag-of-words (BOW) representation, which limits their ability to capture word order information and leads to challenges with out-of-vocabulary (O…