Open Text Corporation

Open Text Holdings, Inc.

E-Talk Corporation

Steven J Graff

Lorne Edward Wood

Jeffrey Allyn LaCroix

Sayeed Khawja Mohammed

Devanshu D Sheth

Embodiments as disclosed provide data processing systems and methods for controlling an automated survey system. One embodiment comprises: a processor; a data store storing a plurality of transactions thereon, each transaction comprising transaction metadata and a voice session recording of an inbound call, the transaction metadata for each transaction comprising an identifier for that transaction; a non-transitory computer readable medium having instructions executable on the processor for: generating, by the processor, a worklist for the survey campaign to control conducting of surveys by an automated survey system that is configured to execute the worklist, the worklist comprising a work item for each of the set of transactions and each work item comprising transaction identification data for a transaction from the set of transactions and contact information for the survey target for the transaction corresponding to the transaction identification data in the work item.

Data processing systems and methods for controlling an automated survey system

A text mining engine running on an artificial platform is trained to perform conversation role identification, semantic analysis, summarization, language detection, etc. The text mining engine analyzes words in a transcript that represent unique characteristics of a conversation and, based on the unique characteristics and utilizing classification predictive modeling, determines a conversation role for each participant of the conversation and metadata describing the conversation such as tonality of words spoken by a participant in a particular conversation role. Outputs from the text mining engine are indexed and useful for various purposes. For instance, because the system can identify which speaker in a customer service call is likely an agent and which speaker is likely a customer, words spoken by the agent can be analyzed for compliance reasons, training agents, providing quality assurance for improving customer service, providing feedback to improve the performance of the text mining engine, etc.

Systems and methods for identifying conversation roles

One embodiment comprises a data processing system for populating selections in an evaluation operator interface. The system may record voice sessions of phone calls, transcribe the voice sessions and store transactions including the voice sessions and transcripts. The system receives a request from a client computer for an evaluation to evaluate a transaction that was assigned an automated score according to the automated scoring template based on a transcript of the transaction having matched a lexicon. The system generates the evaluation. Generating the evaluation comprises setting an answer control for a question in the evaluation to a preselected answer based on a defined correspondence between the automated score and the preselected answer, the preselected answer selected from a defined set of acceptable answers to the question. The system may generate page code for the answer control that sets the answer control to the preselected answer.

Data processing system for automatic presetting of controls in an evaluation operator interface

A method comprises receiving a plurality of voice sessions and creating a unique identifier for each of the plurality of voice sessions, wherein each identifier is unique for the duration of its associated voice session. The method also includes assigning the unique identifiers to the associated voice session, and creating a unique data session for each voice session. The method further includes assigning the unique identifier of each voice session to the data session associated with its voice session. The method also includes receiving a plurality of voice sessions and a plurality of data sessions at a manager, and matching one of the plurality of received voice sessions with its associated data session based at least in part on the unique identifier. The method further includes communicating the matched voice session and data session to one of a plurality of agents.

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Grapevine, TX, United States of America

Steven J Graff