Human-to-human conversation analysis

This invention describes a method to clean up raw text logs of human conversations, such as customer support interactions. It works by examining the log files for specific formatting cues like line breaks, tabs, or changes in text font or color. Based on these cues, the system then converts the messy log files into a more structured format, making them ready for further analysis.

Why it matters: This invention focuses on preparing raw conversation logs for analysis. Since 2013, the capabilities of natural language processing, especially with large language models, have dramatically increased the value of well-structured conversational data, making robust pre-processing more critical for effective downstream analysis.

Status: Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build: SpecializedSoftware logic for robust text parsing.

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