18611502. SEGMENTED HOSTED CONTENT DATA STREAMS simplified abstract (Truist Bank)

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SEGMENTED HOSTED CONTENT DATA STREAMS

Organization Name

Truist Bank

Inventor(s)

Tariq Sulaiman Mansaray of Raleigh NC (US)

SEGMENTED HOSTED CONTENT DATA STREAMS - A simplified explanation of the abstract

This abstract first appeared for US patent application 18611502 titled 'SEGMENTED HOSTED CONTENT DATA STREAMS

The patent application describes systems and methods that automatically classify, filter, and reduce large volumes of hosted content data using artificial intelligence technology.

  • The hosted content data is reduced by representing it as sets of data polarity identifiers or values displayed on a graphical user interface.
  • Hosted content data packets are segmented by labeling them with sequencing identifiers.
  • Neural network technology is utilized to classify the hosted content data according to polarity identifiers, polarity values, sentiment identifiers, or subject identifiers.
      1. Potential Applications:

This technology can be applied in content moderation, data analysis, sentiment analysis, and information retrieval systems.

      1. Problems Solved:

This technology addresses the challenges of processing and organizing large volumes of hosted content data efficiently and accurately.

      1. Benefits:
  • Automated classification and filtering of hosted content data
  • Improved data organization and analysis
  • Enhanced efficiency in content moderation and sentiment analysis
      1. Commercial Applications:

This technology can be used in social media platforms, e-commerce websites, news agencies, and online forums for content moderation, targeted advertising, and user engagement analysis.

      1. Prior Art:

Researchers can explore prior art related to artificial intelligence technology in content analysis, sentiment analysis, and data processing.

      1. Frequently Updated Research:

Stay updated on advancements in artificial intelligence technology, neural networks, and data processing algorithms relevant to this innovation.

        1. Questions about AI:

1. How does this technology improve the efficiency of processing large volumes of hosted content data? 2. What are the potential applications of neural network technology in content classification and sentiment analysis?


Original Abstract Submitted

Disclosed are systems and methods that that automatically classify, filter, and reduce large volumes of hosted content data using artificial intelligence technology. The aggregated hosted content data is reduced by representing the hosted content data as sets of data polarity identifiers or data polarity values that correspond to one or more sequencing identifiers that are displayed on a graphical user interface. Hosted content data packets are segmented by labeling the hosted content data packets with a sequencing identifier. The hosted content data packets are processed utilizing neural network technology to classify the hosted content data according to a polarity identifier, polarity value, sentiment identifier, or one or more subject identifiers.

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