Extracting joint topic-sentiment models from text inputs
AssigneeOptum Technology, Inc.
InventorsSuman Roy, Malladi Vijay Varma, Siddhartha Asthana, Madhvi Gupta, Ashish Chaturvedi
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AssigneeOptum Technology, Inc.
InventorsSuman Roy, Malladi Vijay Varma, Siddhartha Asthana, Madhvi Gupta, Ashish Chaturvedi
Estimating the term…
There is a need for solutions for more effective and efficient natural language processing systems for short texts. This need can be addressed, for example, by a system configured to obtain an initial term-topic correlation data object for a plurality of digital documents, obtain a user-defined term-topic correlation data object for the plurality of digital documents, generate a refined term-topic correlation data object and a refined document-sentiment correlation data object for the plurality of digital documents based at least in part on the initial term-topic correlation data object and the user-defined term-topic correlation data object, obtain a user-defined document-topic correlation data object for the plurality of digital documents, and generate a refined document-topic correlation object for the plurality of digital documents based at least in part on the refined term-topic correlation data object and the user-defined document-topic correlation data object.
A computer-implemented method comprising:
An apparatus comprising at least one processor and at least one non-transitory memory comprising program code, wherein the at least one non-transitory memory and the program code are configured to, with the at least one processor, cause the apparatus to:
A non-transitory computer storage medium comprising instructions configured to cause one or more processors to at least at least perform:
Dependencies are inferred from the claim text.