-
Chapter and Conference Paper
Using an Integrated Ontology Database to Categorize Web Pages
As we know, current classification methods are mostly based on the VSM (Vector Space Model), which only accounts for term frequency in the documents, and ignores important semantic relationships between key te...
-
Chapter and Conference Paper
Extract Semantic Information from WordNet to Improve Text Classification Performance
Since a decade, text categorization has become an active field of research in the machine learning community. Most of the approaches are based on the term occurrence frequency. The performance of such surface-...
-
Chapter and Conference Paper
Study on the Performance Support Vector Machine by Parameter Optimized
With the quick increase of information and knowledge, automatically classifying text documents is becoming a hotspot of knowledge management. Standard machine learning techniques like support vector machines(S...
-
Chapter and Conference Paper
Building “Bag of Conception” Model Based on DBpedia
Text classification has been widely used to assist users with the discovery of useful information from the Internet. However, Current text classification systems are based on the “Bag ofWords” (BOW) representa...