| 摘要 |
The disclosed solution uses machine learning-based methods to improve the knowledge extraction process in a specific domain or business environment. By formulizing a specific company's internal knowledge and terminology, the ontology programming accounts for linguistic meaning to surface relevant and important content for analysis. Based on the self-training mechanism developed by the inventors, the ontology programming automatically trains itself to understand the business environment by processing and analyzing a defined corpus of communication data. For example, the disclosed ontology programming adapts to the language used in a specific domain, including linguistic patterns and properties, such as word order, relationships between terms, and syntactical variations. The disclosed system and method further relates to leveraging the ontology to assess a dataset and conduct a funnel analysis to identify patterns, or sequences of events, in the dataset. |
| 主权项 |
1. A method of automated discourse analysis of interaction transcriptions, the method comprising;
receiving, by at least one processor, a plurality of interaction transcriptions; for each respective interaction transcript of the plurality of interaction transcriptions:
identifying, by the at least one processor, a plurality of meaning units within the respective interaction transcription;classifying, by the at least one processor, the plurality of meaning units into dialog acts, the dialog acts include at least the following categories: social, information, request, response and repetition, the repetition category being used to identify a repetition of a immediately previous dialog act when one party to a given interaction repeats a meaning unit previously spoken by another party to the given interaction; andidentifying, by the at least one processor, durations between the dialog acts; selecting, by the at least one processor, a subset of the plurality of interaction transcriptions based on the durations; extracting, by the at least one processor, syntactic patterns from the selected subset; and outing, by the at least one processor, the extracted patterns as a visual presentation on a graphical display. |
