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Clusters are developed based on similarities between
queries. Similarity is measure at three levels: (1) word level
through misspelling and stopwords removal, and lexeme variations
mapping, and acronym mapping; (2) conceptual level through
synonym mapping; (3) semantic level through hierarchical
mapping. To explore clusters, you can define a threshold for a desired similarity level here (e.g., 0.5)
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