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Data Disambiguation

‘Disambiguation means to make something clear and understandable.’

We all know the word i.e., Ambiguous which means something which is unclear especially when same words are used for multiple purposes.

In the current era, semi and unstructured data is the norm. Now a days, social media has become one of the major sources for customer profiling. Then audio and videos are another source which can have any kind of data behavior.

‘Data Disambiguation’s biggest use case is to handle Sarcasms.’

As we know, in Sarcasm, dual meaning words are heavily used. For example, there is a common saying i.e., What’s up? This phrase can be used to say greeting to a friend and can also be used to show anger to someone unknown moving around in your restricted area.

The job for Data Disambiguation process is.

  • To dig out the right meaning out of confusing statements.
  • To understand the right concept of statement.
  • Remove anything which can corrupt the behavior of pattern.
  • Translate or replace dual meaning word with single meaning words so end user is not confused before taking any decision.

Data Disambiguation can be used in Data Wrangling. It can also assist in producing Data Quality rules. It can also assist in generating Metadata for better data understanding.

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From I Am Datapedia! by Mustafa Qizilbash, published here free by the author. Nothing about your reading is stored.