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Identifying subrogation opportunities

For some time we at Megaputer have been developing an exciting application of both natural language processing and machine learning. But before we discuss how a solution the task of identifying subrogation opportunities works, let’s first sufficiently identify the problem in its domain. Insurers initially fulfill claims regardless of fault Consider an insurance company. Our solution deals with auto insurance and it is helpful to use auto insurance to learn…
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Creating a domain-specific dictionary using extraction nodes in PolyAnalyst

PolyAnalyst comes with several different default dictionaries such as a morphology dictionary, a synonym dictionary, and a dictionary of human names. Those generic dictionaries cover general terms that are useful for a variety of fields. However, when you work with a domain-specific dataset, such as a medical dataset or a car repair dataset, it is crucial to have domain-specific dictionaries that include related terms. Why do you need domain-specific dictionaries?…
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