one
SYSTEMS AND METHODS FOR INCREASING ACCURACY IN CATEGORIZING CHARACTERS IN TEXT STRING

Abstract:

Disclosed embodiments may include a method that includes setting an influence level for each index that a neural network can accept in one sample to a same level for a neural network, receiving a training corpus including training input samples and a corresponding correct training prediction samples, generating, using the neural network, prediction samples, identifying an accuracy for each index by comparing the prediction samples with the corresponding correct training prediction samples, adjusting the influence level for each index based on the accuracy for each index, identifying one or more poorly accurate indexes for the neural network, receiving a first input sample including one or more characters, generating one or more normalized first input samples by applying one or more buffers to the one or more poorly accurate indexes, and generating, using the neural network, a categorization of each character in the one or more normalized first input samples.