Systems and methods for automatic hashtag embedding into user generated content using machine learning

Abstract

One or more aspects of the present disclosure are directed to a digital social medial platform configured to automatically identify and tag elements in an upload content using machine learning techniques. In one aspect, a method includes receive media content; automatically identify one or more elements and associated metadata in the media content using a machine learning technique; embed one or more hashtags within the media content, each of which corresponds to one of the one or more elements identified in the media content; publish the media content with the one or more hashtags; track engagements of one or more users with the media content having the one or more hashtag to yield a set of statistics; and generate a user-specific loyalty identifier for a user associated with the media content, based on the set of statistics.

1 . A method comprising:
 receiving media content;   automatically identifying one or more elements and associated metadata in the media content using a machine learning technique;   embedding one or more hashtags within the media content, each of which corresponds to one of the one or more elements identified in the media content;   publishing the media content with the one or more hashtags;   tracking engagements of one or more users with the media content having the one or more hashtags to yield a set of statistics; and   generating a user-specific loyalty identifier for a user associated with the media content, based on the set of statistics.