Abstract: An example computer-implemented method for analyzing skin of a user comprises requesting, via a graphical user interface (GUI), visual media including a face of the user, processing the visual media to generate information for each of a plurality of skin conditions of the face of the user and the information comprises a score per each of a plurality of zones of the face of the user per each of the plurality of skin conditions of the face of the user, mapping the score to a severity level associated with the plurality of skin conditions, and for each of the plurality of skin conditions, the GUI overlaying computer graphics at locations onto the visual media corresponding to the plurality of zones of the face of the user. The computer graphics are depicted with a color associated with the severity level for the skin condition at each of the locations.

Abstract: A system to automatically enhance, tag, classify, categorize, cluster and index products described in unstructured text-based electronic documents. The system and method incorporate the use of text normalization, regular expressions, product number matching rules, text segmentation, entity detection, language models, predictive modeling, hierarchal subspace clustering, formal concept analysis, and a weighted combination of all techniques to detect and infer knowledge extracted from a digital version of raw, unstructured product text. Knowledge extracted and inferred comprises knowledge units including: main conceptual entity, entity text patterns, product language models, and conceptual hierarchies. The extracted knowledge units are utilized to store and index products in a product knowledge database and the products and knowledge units are made available to users via a user interface.