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disinformation

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deep_classiflie

Deep Classiflie is a framework for developing ML models that bolster fact-checking efficiency. As a POC, the initial alpha release of Deep Classiflie generates/analyzes a model that continuously classifies a single individual's statements (Donald Trump) using a single ground truth labeling source (The Washington Post). For statements the model d…

  • Updated Aug 22, 2023
  • Python
Social-Network-Analysis

Social Network Analysis to Help Rescue targeted people/women from abuse, exploitation, harassment, disinformation/influence operations, and threats. Uses webscraping, NLU, cyber intelligence, statistics, botnet detection, clustering, and methods. (Compare to Traditional Communications Relating to Clients). Inclusive of female public figure-standard

  • Updated Sep 10, 2021
  • Python
deep_classiflie_db

Deep_classiflie_db is the backend data system for managing Deep Classiflie metadata, analyzing Deep Classiflie intermediate datasets and orchestrating Deep Classiflie model training pipelines. Deep_classiflie_db includes data scraping modules for the initial model data sources. Deep Classiflie depends upon deep_classiflie_db for much of its anal…

  • Updated Feb 2, 2021
  • Jupyter Notebook

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