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How to define Co-occurrence in a multidisciplinary context?

Roche Mathieu. 2020. How to define Co-occurrence in a multidisciplinary context?. Informatica, 44 : pp. 387-393.

Journal article ; Article de recherche ; Article de revue à comité de lecture Revue en libre accès total
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Url - jeu de données : https://doi.org/10.18167/DVN1/PGQGQL

Abstract : This position paper presents a comparative study of co-occurrences. Some similarities and differences in the definition exist depending on the research domain (e.g. linguistics, NLP, computer science). This paper discusses these points, and deals with the methodological aspects in order to identify co-occurrences in a multidisciplinary paradigm.

Mots-clés Agrovoc : fouille de données, Analyse de données

Mots-clés complémentaires : cooccurrence, fouille de texte, multidisciplinarité

Mots-clés libres : Text Mining, Co-occurrence, Collocation, Phrase, N-gram, Skyp-n-gram, Association rule, Sequential pattern

Classification Agris : U10 - Computer science, mathematics and statistics
C30 - Documentation and information

Champ stratégique Cirad : CTS 7 (2019-) - Hors champs stratégiques

Auteurs et affiliations

Source : Cirad-Agritrop (https://agritrop.cirad.fr/596847/)

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