| CPC G06F 16/335 (2019.01) [G06F 9/453 (2018.02); G06F 16/35 (2019.01); G06F 16/383 (2019.01)] | 13 Claims |

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1. A computer-implemented method for assisting a user with labeling an initial dataset of unlabeled datapoints, the method comprising the steps of:
upon a first computer command, retrieving the initial dataset;
upon a second computer command, filtering the plurality of unlabeled datapoints of the initial dataset to a first set of unlabeled datapoints based on a first keyword associated with a first label;
assigning the first label to at least a portion of the unlabeled datapoints of the first set of unlabeled datapoints after verifying the first label is correct for the unlabeled datapoint being reviewed, thereby generating a first set of verified labeled datapoints;
prompting the user to select a first data-labeling model from a library of pre-existing data-labeling models;
upon a third computer command, selecting the first data-labeling model;
upon a fourth computer command, training, during a first phase, the first data-labeling model based on the first set of verified labeled datapoints; and
upon a fifth computer command, computing a confidence score for each of the datapoints of the initial data set based on the first data-labeling model.
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