Abstract
In this paper, we review two techniques for topic
discovery in collections of text documents (Latent
Semantic Indexing and K-Means clustering) and
present how we integrated them into a system for semiautomatic
topic ontology construction. The system
offers supports to the user during the construction
process by suggesting topics and analysing them in real time.
Users
Please
log in to take part in the discussion (add own reviews or comments).