An Intelligent Agent System for Topic Tracking and Classification
Christopher Ejiofor
Broschiertes Buch

An Intelligent Agent System for Topic Tracking and Classification

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In this work, I proposed a model that can classify search engine results based on similarity of their topics. The Structural System Analysis and Design Methodology was used to analyze our findings. Vector Space Model was used to extract the set of components in a document, and probabilistic word model was used to find out cluster label for document classification. Clustering technique is used to group the documents into groups of similar topics for specific knowledge. The essence of applying these techniques is to build an intelligent information retrieval system which cluster internet documen...