17874755. AUTOMATICALLY SUMMARIZING EVENT-RELATED DATA USING ARTIFICIAL INTELLIGENCE TECHNIQUES simplified abstract (Dell Products L.P.)

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AUTOMATICALLY SUMMARIZING EVENT-RELATED DATA USING ARTIFICIAL INTELLIGENCE TECHNIQUES

Organization Name

Dell Products L.P.

Inventor(s)

Bijan Kumar Mohanty of Austin TX (US)

Gregory Michael Ramsey of Seattle WA (US)

Hung T. Dinh of Austin TX (US)

AUTOMATICALLY SUMMARIZING EVENT-RELATED DATA USING ARTIFICIAL INTELLIGENCE TECHNIQUES - A simplified explanation of the abstract

This abstract first appeared for US patent application 17874755 titled 'AUTOMATICALLY SUMMARIZING EVENT-RELATED DATA USING ARTIFICIAL INTELLIGENCE TECHNIQUES

Simplified Explanation

The patent application describes methods, apparatus, and processor-readable storage media for automatically summarizing event-related data using artificial intelligence techniques. The method involves obtaining text-based data and non-text-based data associated with a virtual event, generating a content-related summarization of the data using artificial intelligence techniques, generating a participant sentiment-related summarization of the data using artificial intelligence techniques, and performing automated actions based on the summarizations.

  • The patent application focuses on automatically summarizing event-related data using artificial intelligence techniques.
  • The method involves obtaining both text-based and non-text-based data associated with a virtual event.
  • The data is then used to generate a content-related summarization using a first set of artificial intelligence techniques.
  • Additionally, a participant sentiment-related summarization is generated using a second set of artificial intelligence techniques.
  • The generated summarizations are used to perform automated actions.

Potential applications of this technology:

  • Event management platforms can use this technology to automatically summarize event-related data, making it easier for organizers to analyze and understand the event.
  • Social media platforms can utilize this technology to summarize event-related data, allowing users to quickly grasp the key points and sentiments expressed during an event.
  • News organizations can employ this technology to summarize event-related data, enabling journalists to quickly gather information and write news articles.

Problems solved by this technology:

  • Manual summarization of event-related data can be time-consuming and prone to errors. This technology automates the summarization process, saving time and improving accuracy.
  • With the increasing amount of data generated during virtual events, it can be challenging to extract meaningful insights. This technology provides a concise summarization of the data, making it easier to identify important information.

Benefits of this technology:

  • Automated summarization of event-related data saves time and resources, allowing users to quickly access key information.
  • The use of artificial intelligence techniques enhances the accuracy and efficiency of the summarization process.
  • The content-related and participant sentiment-related summarizations provide a comprehensive understanding of the event, enabling users to make informed decisions based on the summarized data.


Original Abstract Submitted

Methods, apparatus, and processor-readable storage media for automatically summarizing event-related data using artificial intelligence techniques are provided herein. An example computer-implemented method includes obtaining text-based data and non-text-based data associated with at least one virtual event comprising one or more participants; generating a content-related summarization of one or more of at least a portion of the text-based data and at least a portion of the non-text-based data using at least a first set of one or more artificial intelligence techniques; generating a participant sentiment-related summarization associated with one or more of at least a portion of the text-based data and at least a portion of the non-text-based data using at least a second set of one or more artificial intelligence techniques; and performing one or more automated actions based at least in part on one or more of the content-related summarization and the participant sentiment-related summarization.

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