Abstract: In some embodiments, a method for determining fashion trend includes, by one or more processors: determining fashion data associated with at least a given fashion style; extracting multimodal fashion features from the fashion data; determining historical fashion data associated with the given fashion style; using a trained fashion trend classifier to determine a fashion trend for the given fashion style based on the multimodal fashion features and the historical fashion data associated with the given fashion style; and causing to display the fashion trend for the given fashion style. The fashion data associated with the given fashion style may be aggregated from a collection of fashion data by parsing fashion entities from each fashion item in the collection of fashion data; using a trained fashion style classifier to detect fashion style for each fashion item, and aggregating the fashion items associated with the given fashion style.

Abstract: Systems, apparatuses, and methods obtain and process data that may be used to identify or discover one or more “influencers” in business, finance, fashion, sports, current events, and other areas, and also to generate an indication of each influencer's expertise and ability to influence others with their posts or comments. A measure of each influencer's accuracy with regards to the contents of their previous comments or posts may also be generated. Based on determining the sentiment associated with each influencer's current posts or comments, an index or measure of the accuracy weighted sentiment expressed by a set of influencers with regards to an event, stock, trend, or other aspect may be generated and presented to a user to assist them in making a decision.