Patent ID: 11893641
Assignee: AGBLOX, INC.
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 10:
11. The method of claim 1, further comprising initializing a sentiment discovery engine configured to classify the input data for the multi-layer machine learning-based model, wherein the developing a taxonomy is performed in a natural language processing engine configured to classify the unstructured data sources to determine a sentiment for the selected equity by searching for one or more sentiment keys within a pre-defined proximity of each keyword or keyword pairing, calculating positive counts and negative counts for each occurrence of the one or more sentiment keys for the content to calculate the temporally-relative sentiment for the selected equity, and converting the temporally-relative sentiment into a numerical array comprised of one or more text-based vectors representing a taxonomy signature for the selected equity, and wherein the identifying discrete-time data points constructed from the structured data sources is performed in a time-series modeling engine configured to classify a historical performance of the selected equity to construct a sequence of the discrete-time data points indicative of the historical performance to define the temporal parameters relative to the selected equity for the specific future time.