A New Formulation of Zipf’s Meaning-Frequency Law through Contextual Diversity This paper proposes formulating Zipf’s meaning-frequency law, the power law between word frequency and the number of meanings, as a…
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Clustering is a fundamental technique in machine learning and data mining, offering a powerful lens to understand self-organizing patterns in the real world. At its core, clustering is inherently information-theoretic:…
Documents have complexity from various perspectives, such as compression rate and the degree of fluctuation. The complexity varies depending on the extent to which the document is based on “inference.”…
We proposed a stock vector representation called “stock embedding,” obtained using a deep learning framework that utilizes news articles and stock price history. This embedding is applicable to financial problems…
The Strahler number was originally proposed to characterize the complexity of river bifurcation and has found various applications. This article proposes computation of the Strahler number’s upper and lower limits…
We apply an information-theoretic perspective to reconsider generative document retrieval (GDR), in which a document x∈X is indexed by t∈T, and a neural autoregressive model is trained to map queries Q to T. GDR…
The correlation dimension of natural language is measured by applying the Grassberger-Procaccia algorithm to high-dimensional sequences produced by a large-scale language model. This method, previously studied only in a Euclidean…
We explore the complexity underlying human symbolic sequences via entropy rate estimation. Consider the number of possibilities for a time series of length n, with a parameter h, as 2_hn_. For a…
The bitcoin price crash at the beginning of 2018 was caused by various social factors. The influence of news wire stories and social media was especially crucial because of the…
The theory of econophysics reveals the scaling properties of price, which explains why market crashes much more frequently than expected. A challenge of financial market modeling is to characterize the…