17957340. Artificial Intelligence Based Topic Detection simplified abstract (Bank of America Corporation)

Artificial Intelligence Based Topic Detection

Organization Name

Bank of America Corporation

Inventor(s)

Mahesha Bharatha Herath of Concord NC (US)

Artificial Intelligence Based Topic Detection - A simplified explanation of the abstract

This abstract first appeared for US patent application 17957340 titled 'Artificial Intelligence Based Topic Detection

Simplified Explanation

Arrangements for providing emerging topic detection are described in the patent application. Here is a simplified explanation of the abstract:

• Customer issue data, including voice data from customer interactions, is received and converted to text data.
• The text data is analyzed to generate bodies of terms for different time periods.
• Filtered terms are generated by subtracting terms from different time periods.
• The filtered terms are further analyzed using Latent Dirichlet Allocation (LDA) to identify emerging terms.
• The emerging terms are categorized and stored in databases, and may be displayed on a dashboard.

Potential Applications

This technology could be applied in customer service industries to quickly identify emerging issues and trends, allowing companies to proactively address customer concerns.

Problems Solved

This technology solves the problem of manually sifting through large amounts of customer data to identify emerging topics and issues. It streamlines the process and provides real-time insights.

Benefits

The benefits of this technology include improved customer service, faster response times to emerging issues, and the ability to stay ahead of trends in the market.

Potential Commercial Applications

A potential commercial application of this technology could be in customer relationship management (CRM) software, where companies can integrate this tool to enhance their customer service operations.

Possible Prior Art

One possible prior art for this technology could be traditional customer feedback analysis methods, which may not be as efficient or real-time as the system described in the patent application.

How does the system ensure data privacy and security?

The patent application does not provide details on how customer data is protected and secured during the analysis process. It would be important to understand the measures in place to safeguard sensitive information.

What is the scalability of the system?

The scalability of the system is not addressed in the patent application. It would be useful to know how the technology can handle increasing volumes of customer data and still provide accurate and timely insights.

Original Abstract Submitted

Arrangements for providing emerging topic detection are provided. In some aspects, customer issue data may be received. For instance, voice data from customer and customer service associate interactions may be received. The customer issue data may be converted to text data and the text data may be further analyzed. For instance, a first body of terms for a first time period and a second body of terms for a second time period after the first time period may be generated. The generated first body of terms may be subtracted from the second body of terms to generate filtered terms. The filtered terms may then be further analyzed using, for instance, Latent Dirichlet Allocation (LDA) to identify emerging terms that may then be categorized and stored in one or more databases. In some examples, emerging terms and/or associated categories may be transmitted to a computing device for display on a dashboard.