Abstract: A method for capturing and organizing intelligence data using an organic data model includes: receiving one or more webpages containing social intelligence data; segmenting content of the one or more webpages containing social intelligence data; identifying named entities in the segmented content of the one or more webpages; identifying topics in the segmented content of the one or more webpages; identifying opinions in the segmented content of the one or more webpages; integrating the identified named entities, topics, and opinions to construct an organic object data model; and storing organic object data associated with the constructed organic object data model in an organic object database.

Abstract: A method for capturing and managing training data collected online includes: receiving a first dataset from one or more online sources; sampling the first dataset and generating a second dataset, the second dataset including the data sampled from the first dataset; receiving an annotated second dataset with predefined labels; and dividing the annotated second dataset into a training dataset and a test dataset. The disclosed method further includes: configuring a machine learning based classifier based on the training dataset; predicting at least one data point based on the training dataset and calculating a confidence score; comparing the at least one predicted data point to the test dataset; sorting the at least one predicted data point based on its confidence score; and receiving corrected training data associated with the at least one predicted data point.