285 search results - page 37 / 57 » Ontology-based Text Document Clustering |
112
Voted
AAAI
2004
15 years 1 months ago
2004
Traditionally, text classifiers are built from labeled training examples. Labeling is usually done manually by human experts (or the users), which is a labor intensive and time co...
118
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AIM
2005
15 years 10 days ago
2005
Intelligent access to information requires semantic integration of structured databases with unstructured textual resources. While the semantic integration problem has been widely...
110
Voted
ISICA
2007
Springer
15 years 6 months ago
2007
Springer
Instant intercommunion techniques such as Instant Messaging (IM) are widely popularized. Aiming at such kind of large scale masscommunication media, clustering on its text conte...
103
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EWMF
2005
Springer
15 years 6 months ago
2005
Springer
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 in...
WEBI
2007
Springer
15 years 6 months ago
2007
Springer
Identification of distinct clusters of documents in text collections has traditionally been addressed by making the assumption that the data instances can only be represented by ...