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I can only answer your first part, if you want to automatically label document if they are talking about funding opportunities, you can train a classification model to classify which document belong to your defined class and which is not. But to train such a model, you need data, and in your data you have to define and label manually documents that belong to ...


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Certainly. I demonstrated clustering techniques using 52 records (playing cards and their features). Unlike classification algorithms, clustering will work with the data available. The question to ask yourself is whether your data has a sufficient number of features that are enable records to be both clusterable and separable.


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