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This project is to address the problem of low precision most conventional search engines are plagued with by designing a visualisation front-end that aids navigation through the set of documents returned by a search engine.The project is based on identifying relevant words in the set of hit documents and on a clustering of the hit-document set; it shall make use of the clustering to visually group the documents returned from the search and label the groups with their respective related words. Also, the navigator shall be able to browse cluster information as well as drill up or down in one or more clusters and refine the search using one or more of the suggested related keywords.