Search Results - subject:"Document Clustering"

Language independent algorithm for clustering text documents with respect to their sentiment

Korzeniewski, Jerzy; Idczak, Adam - In: Statistics in transition : an international journal of … 25 (2024) 3, pp. 175-185

Determining the sentiment of a written text is an important task in text research. This task can be performed either in the supervised or unsupervised version. In this paper, we propose a novel unsupervised algorithm for documents written in any language using documents written in Polish as an...

Persistent link: https://www.econbiz.de/10015127239

Lookup table string similarity algorithm

Mehri, Banafsheh; Goussard, Yves; Trépanier, Martin - 2023

Persistent link: https://www.econbiz.de/10013538999

Q3-D3-LSA

Borke, Lukas; Härdle, Wolfgang Karl - 2016

similarity-based document clustering and knowledge discovery. In particular, different LSA configurations together with …

Persistent link: https://www.econbiz.de/10011580448

Q3-D3-LSA

Borke, Lukas; Härdle, Wolfgang - 2016

similarity-based document clustering and knowledge discovery. In particular, different LSA configurations together with …

Persistent link: https://www.econbiz.de/10011572047

Jayabharathy, Jayaraj; Kanmani, Selvadurai - In: Decision Analytics 1 (2014) 1, pp. 1-21

clusters, scalability of the system still remains complicated. In this paper, three dynamic document clustering algorithms …, namely: Term frequency based MAximum Resemblance Document Clustering (TMARDC), Correlated Concept based MAximum Resemblance … Document Clustering (CCMARDC) and Correlated Concept based Fast Incremental Clustering Algorithm (CCFICA) are proposed. From …

Persistent link: https://www.econbiz.de/10011656505

Jayabharathy, Jayaraj; Kanmani, Selvadurai - In: Decision Analytics 1 (2014), pp. 1-21

Persistent link: https://www.econbiz.de/10010338776