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Our aim is to come up with a sound and concrete solution so that the gigantic volume of unsorted data could be fitted in to a virtual hierarchy to make extracting relevant data more feasible.
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Recently we did a research on selecting the best clustering alogorithm which optimize our
requirements in the project. Currently we are preparing the system design documentation.
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| Project Overview |
.txtKnot consists with five major components.
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• Input text selection component |
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• Selected text preprocessing component |
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• Text Clustering component |
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• Concept heirarchy generation component |
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• Visual output generation component. |
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