METHOD IMPLEMENTED BY A PROCESSOR AND BIDIRED-SHORT-TERM SIAMESE SYNCHESE NETWORK CLASSIFIER SYSTEM

摘要

method implemented by processor and bidirectional siamese short-term memory (bilstm) network-based classifier system. These are organizations that are constantly flooded with questions that range from mundane to unanswered. therefore, it is the department that actively seeks automated assistance, especially to lighten the burden of routine but time-consuming tasks. embodiments of the present disclosure provide a bilstm siamese network-based classifier for identifying query target classes and provide responses to queries belonging to the identified target class, which acts as an automated assistant that lightens the burden of answering queries in well-defined domains. the siamese (sm) model is trained for one season and then the same base net is used to train the classification model (cm) for b s interactively until the best accuracy is observed in the validation test, where sm ensures that it learns which phrases are semantically similar / different while cm learns to predict the target class of each user query. In the present context, it is assumed that a and b are hyperparameters and are tuned for best performance in the validation set.