
Our AI-powered Visual Analytics capabilities can extract visual information such as Gender, Emotion, Key Tags present in the picture. Have a look at the analysis of this picture uploaded by a user on Instagram at Rolling Loud Festival 2017 which was headlined by Kendrick Lamar:

Username: anisecrane
Caption: Incredible weekend, incredible company #rollingloud2017 #kendricklamar #asaprocky
Likes: 246
Comments: 4
Location: Bayfront Park
Gender and Emotion: [Man, Happy],[Woman, Happy]*
Tags: [Sunglasses, Pajama, Sarog, Feather_boa]
We ran this analysis on 13,992 images mentioning the hashtag #KendrickLamar. Let’s dive right into the collective insights we got from them.
Demographics
The hashtag #KendrickLamar was populated by male fans as almost a three-fourth of total humans present were men.

Our AI algorithms can detect the emotion expressed by the people in the photos. Here’s a breakdown of emotions detected in the images crawled.

Tags
Here’s a distribution of top 10 most frequently detected tags in the photo. You can see relevant tags such as Microphone, Monitor, Spotlight and Stage along with some generic ones such as Jeans, Jersey and Sunglasses.

Top Locations
The top locations were all cities in the United States with Los Angeles occurring the most with 883 mentions.

Such an analysis can help brands, marketers and researchers to understand what is being shared about their hashtags on visual social media without going through the pain of analyzing each image.
Visual analytics opens up a plethora of analytics opportunities ranging from market research stage for a product launch to analyze the performance of promotional campaigns. You can check the demo here.
At Karna, we do customized in-depth text and visual analytics research for multiple brands. You can reach to us here for any similar analysis for your brand.

