MMBazel/Predicting-Kickstarter-Campaign-Outcomes-Using-NLP-Feature-Engineering

Turning raw kickstarter text data => Campaign predictions using SpaCy, Scikit-learn, SQLAlchemy, SQLite3 & XGBoost Classifier (feat eng = Bag-of-Words, Tfdvectorizer)

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Experimental

This project helps predict the success or failure of Kickstarter campaigns. By analyzing existing campaign descriptions and quantitative data, it generates predictions about whether a new campaign will reach its funding goal. Entrepreneurs, campaign managers, and marketing strategists planning or evaluating Kickstarter projects would use this.

No commits in the last 6 months.

Use this if you need to assess the potential outcome of a Kickstarter campaign before or during its launch, based on its text and numerical details.

Not ideal if you are looking for a tool that optimizes campaign text or strategy, as it focuses solely on prediction.

crowdfunding campaign-prediction startup-funding project-planning kickstarter
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 6 / 25
Maturity 8 / 25
Community 13 / 25

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Last pushed

Feb 26, 2021

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