US 11275900

A concise summary of US Patent 11,275,900 is as follows:

Title: Systems and methods for automatically assigning one or more labels to discussion topics shown in online forums on the dark web.

Assignee: Skysong Innovations LLC

Inventors:

• Revanth Patil
• Paulo Shakarian
• Ashkan Aleali
• Ericsson Marin

Filing Date: May 7, 2019

Issue Date: March 15, 2022

Abstract: Embodiments of a computer-implemented system for improving classification of data associated with the deep web or dark net are disclosed.

Plain-Language Overview of Independent Claims:

As of my last update, I have not found any records of US Patent 11,275,900 in the CAFC 2026 dockets.

Claim 1: This claim describes a computer-based system designed to classify criminal activities discussed in online forums on the deep web. The system first accesses a "ground truth" dataset, which is a pre-existing collection of information from deep web forums that has already been labeled with a defined hierarchy of tags. It then takes new data from a discussion topic on a deep web forum and analyzes it by assigning numerical representations (vectors) to the words and paragraphs. A machine learning classifier then uses these numerical representations to predict a list of relevant tags for the new discussion topic, with each tag having a certain probability of being correct. To improve the accuracy and organization of these tags, the system will automatically add any relevant "parent" tags from the predefined hierarchy to the prediction list if a corresponding "child" tag is identified and its prediction probability is above a certain threshold.

Claim 12: This claim outlines a method, rather than a system, for classifying topics from deep web forums. A processor is configured to perform a series of steps. First, it accesses data from a deep web forum related to a specific topic. It then extracts key features from this data to be used as input for a machine classifier. The classifier then analyzes these features and generates a list of predicted tags for the topic, each with a corresponding probability score. Similar to the system in Claim 1, this method involves adding all the "parent" tags associated with a predicted tag to the list, but only if the predicted tag's probability score meets a specific, predetermined value.