Sentiment based social media comment overlay on image posts
Abstract:
By performing Natural Language Processing (NLP) on a comment to a social media post, an entity that is referenced in the comment is extracted. The entity is an object other than a human face that is depicted in an image in the post. The image is analyzed to determine whether the entity is represented in the image. When the entity is represented in the image, a sentiment value of the comment is computed relative to the entity. A value corresponding to the sentiment value is assigned to a characteristic of a graphical artifact. A position is determined relative to an area occupied by the entity in the image. The graphical artifact is caused to be overlaid on the image at the position and with the value of the characteristic.
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