18597279. DYNAMIC TOPIC DEFINITION GENERATOR simplified abstract (Wells Fargo Bank, N.A.)
Contents
DYNAMIC TOPIC DEFINITION GENERATOR
Organization Name
Inventor(s)
Amit Agarwal of Bangalore (IN)
Dipanjan Deb of Bangalore (IN)
Abhishek Kumar of Bengaluru (IN)
Naveen Gururaja Yeri of Devarabeesanahalli (IN)
DYNAMIC TOPIC DEFINITION GENERATOR - A simplified explanation of the abstract
This abstract first appeared for US patent application 18597279 titled 'DYNAMIC TOPIC DEFINITION GENERATOR
Abstract: Disclosed in some examples are methods, systems, and machine-readable mediums which provide summaries of topics determined within a corpus of documents. These summaries may be used by customer service associates, analysts, or other users to quickly determine both topics discussed and contexts of those topics over a large corpus of text. For example, a corpus of documents may be related to customer complaints and the topics may be summarized to produce summaries such as “credit report update due to stolen identity.” These summarizations may be used to efficiently spot trends and issues.
- Simplified Explanation: The patent application describes methods, systems, and mediums that generate summaries of topics within a corpus of documents for quick analysis by users.
- Key Features and Innovation:
- Summarization of topics within a corpus of documents - Quick determination of discussed topics and contexts - Efficient spotting of trends and issues
- Potential Applications:
- Customer service analysis - Trend spotting in large text corpora - Issue identification in document sets
- Problems Solved:
- Time-consuming manual analysis of large text corpora - Difficulty in quickly determining topics discussed in documents - Inefficient trend spotting and issue identification
- Benefits:
- Time-saving analysis of text corpora - Quick understanding of discussed topics - Efficient trend spotting and issue identification
- Commercial Applications:
- Market research analysis tools - Customer service automation systems - Document management software
- Prior Art: Further research may be needed to identify prior art related to this technology.
- Frequently Updated Research: Stay informed on advancements in text analysis and summarization technologies.
Questions about text summarization: 1. How does the technology determine the context of topics within a corpus of documents? 2. What are the potential limitations of using automated text summarization tools?
Original Abstract Submitted
Disclosed in some examples are methods, systems, and machine readable mediums which provide summaries of topics determined within a corpus of documents. These summaries may be used by customer service associates, analysts, or other users to quickly determine both topics discussed and contexts of those topics over a large corpus of text. For example, a corpus of documents may be related to customer complaints and the topics may be summarized to produce summaries such as “credit report update due to stolen identity.” These summarizations may be used to efficiently spot trends and issues.
