N Li, L Ma, T Xing, G Yu, C Wang, Y Wen, S Cheng… - Applied Soft …, 2023 - Elsevier
Abstract Machine learning (ML), as the most promising paradigm to discover deep knowledge from data, has been widely applied to practical applications, such as …
Text mining is a new and exciting area of computer science research that tries to solve the crisis of information overload by combining techniques from data mining, machine learning …
Background In the context of the BioCreative competition, where training data were very sparse, we investigated two complementary tasks: 1) given a Swiss-Prot triplet, containing a …
Les mots constituent l'un des fondements des langues naturelles de type indo-européenne. Des corpus rédigés avec ces langues sont alors naturellement décrits avec des mots …
Y Liu - Handbook of research on text and web mining …, 2009 - igi-global.com
In the automated text classification, a bag-of-words representation followed by the tfidf weighting is the most popular approach to convert the textual documents into various …
P Fauquet-Alekhine, A Boucherand - British Journal of Education …, 2016 - eprints.lse.ac.uk
Previous multidisciplinary study of vocational simulation training helped us to elaborate an innovative debriefing protocol for simulation training sessions in seven steps applying two …
Category ranking provides a way to classify plain text documents into a pre-determined set of categories. This work proposes to have a look at typical document collections and analyze …
K Patriarcheas, S Papaloukas… - … Conference on Intelligent …, 2010 - ieeexplore.ieee.org
Electronic discussion for a are increasingly becoming part of the distance education process and are an evolving field which needs to be constantly updated and redefined. This paper …
K Patriarcheas, S Papaloukas, M Xenos - Intelligent Adaptation and …, 2012 - Springer
Electronic asynchronous discussion fora are increasingly becoming part of the distance education process and are a dynamically evolving field which needs to be constantly …