simple_intent_classifier

class besser.bot.nlp.intent_classifier.simple_intent_classifier.SimpleIntentClassifier(nlp_engine, state)

Bases: IntentClassifier

A Simple Intent Classifier.

It works using a simple Keras Neural Network (the prediction model) for text classification.

Parameters:

• nlp_engine (NLPEngine) – the NLPEngine that handles the NLP processes of the bot

• state (State) – the state the intent classifier belongs to

_tokenizer

The intent classifier tokenizer

Type:

Tokenizer

_model

The intent classifier language model

Type:

Sequential

See also

SimpleIntentClassifierConfiguration.

__intent_label_mapping

A mapping of the intent labels and their corresponding intents.

__total_labels_training_sentences

The label (identifying the intent) of all training sentences.

__total_training_sentences

All the processed training sentences of all intents of the intent classifier’s state.

__total_training_sequences

All the training sequences of all intents of the intent classifier’s state.

_abc_impl = <_abc._abc_data object>

predict(message)

Predict the intent of a given message.

Instead of returning only the intent with the highest likelihood, return all predictions. Predictions include not only the intent scores but other information extracted from the message.

Parameters:

message (str) – the message to predict the intent

Returns:

the list of predictions made by the intent classifier.

Return type:

list[IntentClassifierPrediction]

train()

Train the intent classifier.