May 24, 2006 · We propose the use of a statistical method, the top-down hierarchical classification and a new interpreta- tion of its results. The initial ...

At the earlier stage of the knowledge acquisition process, interviews of experts produce a large amount of rich but ill-structured texts.

Knowledge engineers need some tool to help them in the exploita- tion of all these texts. We propose the use of a statistical method, the top-down hierarchical ...

At the earlier stage of the knowledge acquisition process, interviews of experts produce a large amount of rich but ill-structured texts.

Nov 21, 2024 · This research presents a model for document clustering that arranges unstructured documents into content-based homogeneous groups. The overall ...

The application of a text clustering statistical analysis to aid the interpretation of focus group interviews · Sociology · 2004.

Clustering techniques focus on detecting similarity patterns in corpus data, automatically detecting groups of similar short texts, and organising documents ...

We propose a text mining approach combining topic modeling, text clustering, and association rule identification algorithms for knowledge discovery.

In order to make better business decisions, faster database browsing and reducing processing time of queries, Extraction of Information from text documents ...

Dec 12, 2023 · The aim of this study is to gather and compare recent studies that have developed or used incremental hierarchical clustering techniques for text documents.