elleros/text-classification-challenge
Supervised text classification
This project helps data scientists and machine learning engineers accurately categorize text posts into predefined topics. It takes raw text data as input and outputs the predicted category for each post, along with an evaluation of the classification performance. This is valuable for anyone working with textual data who needs to automatically sort or organize large volumes of text.
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Use this if you need to classify text posts into specific categories and are looking for a robust, pre-tuned ensemble model that outperforms simpler baselines.
Not ideal if your categories are highly unbalanced and you need a metric other than macro F1 score to evaluate performance, or if you require a highly interpretable model rather than an ensemble.
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Jupyter Notebook
License
MIT
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Last pushed
Mar 26, 2017
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