Detecting Topics and Locations on Instagram Photos
Angel Fiallos, Karina Jiménes, Carlos Fiallos, Stalin Figueroa · 2018
Instagram has been the fastest growing social network in the last three years. It allows users sharing their status by uploading pictures with a description text, a location and some hashtags which not necessarily describe the content of the pictures, so this work presents a methodology to detect relevant content topics of pictures associated to a particular hashtag through text mining techniques and computer vision tools. For this purpose 7382 pictures associated with the hashtag #allyouneedisecuador were collected. Results show he most relevant topics and that the similarity between both descriptions is low.