Information foraging connects optimal theory in ecology with how humans search for information. The suggests that, following an information scent, the seeker must optimize tradeoff between exploration by repeated steps space vs. exploitation, using resources encountered. We conjecture that this characterizes a user deals uncertainty and its two aspects, risk ambiguity economic theory. Risk is related to perceived quality of actually visited patch information, can be reduced exploiting...

Experimenting with different mathematical objects for text representation is an important step of building classification models. In order to be efficient, such a formal model, like vectors, have reasonably reproduce language-related phenomena as word meaning inherent in index terms. We introduce algorithm sense-based semantic ordering terms which approximates Cruse's description sense spectrum. Following ordering, by support vector machines can benefit from smoothing kernels that regard...

Based on the Aristotelian concept of potentiality vs. actuality allowing for study energy and dynamics in language, we propose a field approach to lexical analysis. Falling back distributional hypothesis statistically model word meaning, used evolving fields as metaphor express time-dependent changes vector space by combination random indexing self-organizing maps (ESOM). To monitor semantic drifts within observation period, an experiment was carried out term collection 12.8 million Amazon...

Term selection methods typically employ a statistical measure to filter or weight terms. expansion for IR may also depend on statistics, use some other, non-metric method based lexical resource. At the same time, wide range of semantic similarity measures have been developed support natural language processing tasks such as word sense disambiguation. This paper combines two approaches and proposes an algorithm that provides order terms relatedness measure. can be exploited by term weighting methods.

Abstract units of narrative content called motifs constitute sequences, also known as tale types. However whereas the dependency types on constituent is clear, strength their bond has not been measured this far. Based observation that differences between such motif sequences are reminiscent nucleotide and chromosome mutations in genetics, i.e., DNA, we used sequence mining methods from bioinformatics to learn more about nature a corpus. 94% Aarne-Thompson-Uther catalogue (2249 7050 variants)...

Motifs in folktales and myths have been identified articulated by scholars, the computational identification discovery of such motifs is an area ongoing research. Achieving this goal means meeting scientific requirements (that methods be comparable replicable) for collaboration multi-disciplinary teams can reliably access data). To support those requirements, to consistent reference datasets needed. Unfortunately, these are not openly available a format that supports their use data science....

La revista Anales de Documentación es una que publica artículos, traducciones y reseñas todos los campos la biblioteconomía, archivística documentación en acceso libre. está indizada importantes bases datos nacionales e internacionales, editada Facultad Comunicación Servicio Publicaciones Universidad Murcia. El ISSN 1697-7904

Based on real‐world user demands, we demonstrate how animated visualization of evolving text corpora displays the underlying dynamics semantic content. To interpret results, one needs a dynamic theory word meaning. We suggest that conceptual as interaction between kinds intellectual and emotional content language is key for such theory. our method by two‐way seriation, which popular technique to analyze groups similar instances their features well connections themselves. The seriated data...