1 citations · 1 across the 2 of their papers we have counts for
3 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…
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…