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Text Clustering on Latent Thematic Spaces: Variants, Strengths and Weaknesses

2007
Deriving a thematically meaningful partition of an unlabeled text corpus is a challenging task. In comparison to classic term-based document indexing, the use of document representations based on latent thematic generative models can lead to improved clustering.
Xavier Sevillano   +3 more
openaire   +1 more source

Analysis of UN Voting Patterns via Diffusion Geometry and Thematic Clustering

2013 IEEE 13th International Conference on Data Mining Workshops, 2013
We apply a range of data mining techniques to analyze voting patterns in the United Nations. We begin with non-linear dimensionality reduction, showing that diffusion geometry reveals an historically relevant organization of countries based on their UN voting patterns. Key historical events can be ``read out'' from these embeddings, such as de Gaulle's
Minh Tam Le   +4 more
openaire   +1 more source

Canyons pride and prejudice: Exploring the submarine canyon research landscape, a history of geographic and thematic bias

Progress in Oceanography, 2018
We mapped submarine canyon research using a scientometric approach to define and characterize its scientific landscape based on a comprehensive bibliographic dataset.
F. Matos   +4 more
semanticscholar   +1 more source

THEMATIC CLUSTERS IN TOURISM

2012
Općenito, rast i razvoj poduzetništva (posebno malog) zahtijeva stalno traganje za organizacijskim modelom koji osigurava opstanak poduzetnika na tržištu, a ujedno zadovoljava strateški cilj kroz povećanje dodane vrijednosti po jedinici proizvoda, odnosno profitabilnost, povećanje proizvodnje usmjerene na izvoz i u skladu s tim, održanje i povećanje ...
openaire  

A Comprehensive and Systematic Review of Multi-Criteria Decision-Making (MCDM) Methods to Solve Decision-Making Problems: Two Decades from 2004 to 2024

Spectrum of Decision Making and Applications
Decision-making in complex, multifaceted scenarios has become increasingly critical across diverse sectors, necessitating robust frameworks like Multi-Criteria Decision-Making (MCDM).
Rahul Kumar, D. Pamucar
semanticscholar   +1 more source

Leadership challenges in the context of university 4.0. A thematic synthesis literature review

Computational and mathematical organization theory, 2021
Á. Rocha   +4 more
semanticscholar   +1 more source

Semantic clustering in developmental dyslexia: Taxonomic and thematic representations

2018
Introduction​: Semantic long-term memory (LTM) representations can be distinguished in two main classes: thematic (i.e., concrete, context-dependent) and taxonomic (i.e., more abstract, space-time independent; see Blaye et al. 2001; Mandler et al. 1987).
Caterina Artuso   +2 more
openaire   +2 more sources

ChatGPT in thematic analysis: Can AI become a research assistant in qualitative research?

Quality & Quantity: International Journal of Methodology
K. Nguyen-Trung
semanticscholar   +1 more source

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