Capital One Services, LLC

Akshay Aravindakshan Thoniparambil

Sourav Choudhary

Manish Agarwal

Deepak Ramamohan

Naman Gupta

Gaurav Kedia

Aashish Bansiwala

Systems, methods, and computer program products for identifying zones of interest in text transcripts. An application may receive input specifying a text statement type and determine a plurality of heuristics for identifying statements of the statement type in transcripts. The application may determine, based on a first heuristic, a first text statement of the statement type. The application may generate, based on a clustering algorithm, a plurality of additional statements of the statement type. The application may receive a first text transcript. The application may identify, based on a second heuristic, a first text statement in the first text transcript, where the first text transcript statement is of the statement type. The application may generate a graphical indication that the first text transcript statement is of the statement type, and display the first transcript statement and the graphical indication on a display.

Identifying zones of interest in text transcripts using deep learning

Learning frameworks for processing text transcripts may include receiving, by an application, a query comprising a topic. A topic model may determine a plurality of subtopics based on the topic. The application may receive, from a database based on the topic and plurality of subtopics, a plurality of text transcripts. A sentiment model may compute, for each text transcript, a respective sentiment score based on a text of the respective text transcript. The application may determine, for each text transcript, a duration of a communication session associated with the respective text transcript. The application may compute, for each text transcript, a total score based on the sentiment score and the duration of the respective text transcript. The application may return, as responsive to the query, a subset of the plurality of text transcripts having a total score that exceeds a threshold.

Learning framework for processing communication session transcripts

Growing community of inventors

Bengaluru, India

Akshay Aravindakshan Thoniparambil