From Average to Exceptional: Elevate Your Article Titles with Machine Learning
Use the publicly available Machine Learning model trained on 1.2 million English article titles from Medium to check your title’s potential engagement
Asa follow-up of my previous articles about engagements for Medium article titles in the Data Science domain:
How to use Machine Learning to write engaging titles for Medium articles? (substack.com)
a natural question arises whether the model can be extended to article titles from all domains.
Hopefully, it becomes a reality given a previously unused large public dataset of 1.4 million Medium articles (together with article titles and the number of claps acquired per article) publicly available at Kaggle.
The data preparation (including the selection of titles in English) and model training can be publicly accessed as Kaggle notebooks here and here, respectively.
The trained Machine Learning model is freely available to everyone through Hugging Face. For example, typing the current article title in their interface:
the model predicts an engagement score of 99.3%.
I hope these results can be useful for you. In case of questions/comments, do not hesitate to write in the comments below or reach me directly through LinkedIn or Twitter.