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Predicting the popularity of social media posts

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[vc_column_text]US-based startup building a social networking site.[/vc_column_text]

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About this project

[/vc_column_text][vc_row_inner][vc_column_inner width=”1/2″][vc_column_text]Project description

In order to predict how popular a post created on the client’s platform would become, we’ve created a Machine Learning model for sentiment classification model and represented user activities to predict how many likes would the published content receives.

[/vc_column_text][/vc_column_inner][vc_column_inner width=”1/2″][vc_column_text]Technologies:

• spaCy, PyTorch, scikit-learn

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