DataElixir: A framework to work with unstructured data (cleansing and deduplication)

Posted on 22 Jun, 2017

Applications that escapade data for decision making are the anodynes, of the myriad of business problems, in protean sectors such as healthcare, insurance, finance and social media. However, in legion scenarios, the nature of the available data is either unforthcoming or is not readily palatable. The available data, (specifically text) is grimy — full of heterodox entities and eclectic in nature. In more pragmatic data scenarios, it is redundant.

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