Deep Classiflie POC/Public Alpha Release

Deep Classiflie is a framework for developing ML models that bolster fact-checking efficiency. Predominantly a research project, I plan to extend and maintain this framework in pursuing my own research interests so am sharing it in case it's of any utility to the broader community.

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). To learn more, visit deepclassiflie.org.

Deep Classiflie POC/Public Alpha Release

Deep Classiflie is a framework for developing ML models that bolster fact-checking efficiency. Predominantly a research project, I plan to extend and maintain this framework in pursuing my own research interests so am sharing it in case it's of any utility to the broader community.

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). To learn more, visit deepclassiflie.org.

Deep Classiflie Initial POC/Alpha Release

Deep Classiflie is a framework for developing ML models that bolster fact-checking efficiency. Predominantly a research project, I plan to extend and maintain this framework in pursuing my own research interests so am sharing it in case it's of any utility to the broader community.

As a POC, the initial alpha release of Deep Classiflie generates/analyzes a model that continuously classifies a single individual's statements (Donald Trump)1 using a single ground truth labeling source (The Washington Post). For statements the model deems most likely to be labeled falsehoods (see current performance for more detail), the @DeepClassiflie twitter bot tweets out a statement analysis and model interpretation "report". To learn more, visit deepclassiflie.org.