Key Phrase Extraction & Applause Prediction
This paper addresses the problem of providing feedback to blog writers about the potential impact of their articles, which is an incremental problem for content creators.
This paper tackles the problem of predicting article popularity based on claps and tags by training a machine learning model to learn popular article styles using vector space representations and various word embeddings.
With the increase in content availability over the internet it is very difficult to get noticed. It has become an upmost the priority of the blog writers to get some feedback over their creations to be confident about the impact of their article. We are training a machine learning model to learn popular article styles, in the form of vector space representations using various word embeddings, and their popularity based on claps and tags.