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)
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.
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Last pushed
Feb 26, 2021
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