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Representation of textual documents by the approach wordnet and n-grams for the unsupervised classification (clustering) with 2D cellular automata: a comparative study

HAMOU Reda Mohamed, LEHIRECHE Ahmed, LOKBANI Ahmed Chaouki, RAHMANI Mohamed
2010 Computer and Information Science  
Our work is to make a comparative study of two approaches to representation that is the conceptual approach (Wordnet) and the n-grams.  ...  In this article we present a 2D cellular automaton (Class_AC) to solve a problem of text mining in the case of unsupervised classification (clustering).  ...  Conclusion and perspectives In conclusion, we proposed a first algorithm for unsupervised classification (clustering) using cellular automata and represented by two methods (approach Wordnet and N-grams  ... 
doi:10.5539/cis.v3n3p240 fatcat:4fz5mt5zlvbfpo2amubcot5pbq

A Survey on Hyperdimensional Computing aka Vector Symbolic Architectures, Part II: Applications, Cognitive Models, and Challenges [article]

Denis Kleyko, Dmitri A. Rachkovskij, Evgeny Osipov, Abbas Rahimi
2022 arXiv   pre-print
Both names refer to a family of computational models that use high-dimensional distributed representations and rely on the algebraic properties of their key operations to incorporate the advantages of  ...  The survey is written to be useful for both newcomers and practitioners.  ...  The second part was contributed by the word order HVs, that were formed as the superposition of the word n-gram HVs (with n between 2 and 7).  ... 
arXiv:2112.15424v2 fatcat:uteoq33hgna2fhs2o46rkde2iq