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Case Study 1: Marketing & Advertising
The Challenge:
Find a reliable way to predict the type of engagement (likes, replies, retweets or retweets with comment) that a user will opt for in relation to a given tweet.
The Solution:
Using text from tweets and anonymized account information, we created a deep learning model that could predict how users would interact or engage with tweets they see on Twitter.
The Outcome:
We built a system that could predict the type and probability of engagement for a particular tweet by a specific user. We achieved a very similar PRAUC-RCE to the state of the art model.
Tech Tools & Skills Applied:
Apache Spark, Hadoop, TensorFlow, AWS EMR, AWS EC2 and AWS S3.
Results
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