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Discovering hairstyle trends at a global scale on Instagram. Instagram posts have been clustered together into hairstyles

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Hairstyle Classification

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If you want to see the further ML projects, you may visit my main repo: https://github.com/erdiolmezogullari/ml-projects

The dataset contains a sample 10000 images mined from Instagram and clustered based on the hairstyle they showcase.

The variable cluster represents the hairstyle cluster that the image has been assigned to by the visual recognition algorithm.

Each row contains the variable url which is the link to the image and the number of ​ likes together with the comments per image. The user_id is the unique id of the Instagram account from which the post comes and the variable id is the unique identifier associated with the post itself.

Each post contains the date(date_unix) in unix format when the image was posted on Instagram and additionally the date has been converted to different formats (date_week->non-iso number of the week, date_month -> the month, date_formated ->full date dd/mm/YY) partly for use in prior analyses. Feel free to convert that variable in a way that suits your analysis.

Additionally a classifier influencer_flag was added to each of the images which have more than 500 likes, flagging them as influencer posts.

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Discovering hairstyle trends at a global scale on Instagram. Instagram posts have been clustered together into hairstyles

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