For a project, I have to classify a list of banking transactions based on their description.Supose I have 2 categories: health and entertainment. Initially, the transactions will have basic information: date and time, ammount and a description given by the user. For example:Transaction 1: 09/17/2012 12:23:02 pm - 45.32$ - medicine paymentsTransaction 2: 09/18/2012 1:56:54 pm - 8.99$ - movie ticketTransaction 3: 09/18/2012 7:46:37 pm - 299.45$ - dentist appointmentTransaction 4: 09/19/2012 6:50:17 am - 45.32$ - videogame shoppingThe idea is to use that description to classify the transaction. 1 and 3 would go to health category while 2 and 4 would go to entertainment.I want to use the google prediction API to do this. In reality, I have 7 different categories, and for each one, a lot of key words related to that category. I would use some for training and some for testing. Is this even possible? I mean, to determine the category given a few words? Plus, the number of words is not necesarally the same on every transaction.Thanks for any help or guidance! Very appreciatedPossible solution: https://developers.google.com/prediction/docs/hello_world?hl=es#theproblem
Transaction classification. Artificial intelligence
artificial intelligence;prediction