1 citations · 1 across the 5 of their papers we have counts for
5 papers
Best Preprocessing Techniques for Sentiment Analysis
Saranzaya Magsarjav, Melissa Humphries, Jonathan Tuke +1
Sentiment analysis in Twitter datasets is important because it enables monitoring public opinion on products and analysis of political and social movements. One critical step is pr…
Learning Moral Diversity: Modelling Individual Perspectives in Moral Classification of Texts
Yi Ren, Lewis Mitchell, Matthew Roughan
Understanding moral values in social media text offers insight into moral judgement formation, and supervised NLP models trained on crowdsourced data have achieved strong classific…
Hierarchical Representations for Evolving Acyclic Vector Autoregressions (HEAVe)
Cameron Cornell, Lewis Mitchell, Matthew Roughan
Causal networks offer an intuitive framework to understand influence structures within time series systems. However, the presence of cycles can obscure dynamic relationships and hi…
Enhancing Causal Discovery in Financial Networks with Piecewise Quantile Regression
Cameron Cornell, Lewis Mitchell, Matthew Roughan
Financial networks can be constructed using statistical dependencies found within the price series of speculative assets. Across the various methods used to infer these networks, t…
Modified CMA-ES Algorithm for Multi-Modal Optimization: Incorporating Niching Strategies and Dynamic Adaptation Mechanism
Wathsala Karunarathne, Indu Bala, Dikshit Chauhan +2
This study modifies the Covariance Matrix Adaptation Evolution Strategy (CMA-ES) algorithm for multi-modal optimization problems. The enhancements focus on addressing the challenge…