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You train your own set by posting the document and the classification / category to the service. The training set is then used to calculate the prior probabilit
by jrgnsd 11y ago
You train your own set by posting the document and the classification / category to the service. The training set is then used to calculate the prior probabilities needed by Bayes theorem. Once you have a proper training set, you can post a document to the service and it will return a list of probable categories from the training set.
Your set might look something like this:
Category - Document
negative - I don't like ice cream
positive - That's an awesome idea
neutral - The wind is blowing today
positive - We won!
You'll get a categorization of either positive, negative or neutral.
- Pamar 11y agoYes, well - I understand the general theory, but I don't understand how it applies to managing your bank account. I do manage my bank account, but I don't see any need for an "classifier": when I input (or check) a supermarket bill I don't need much help in setting it to "GROCERIES". Basically anything that gets into my accounting files it's either something I know already what is about, or else something I need to investigate (e.g.: a speed ticket from a foreign country, routed to my credit card by the car rental company).