dialoguekit.nlu.models.satisfaction_classifier¶
Satisfaction classification.
The SVM model and data it was trained on are based on: https://github.com/sunnweiwei/user-satisfaction-simulation
Classes¶
Helper class that provides a standard way to create an ABC using |
|
SVM Satisfaction classifier. |
Module Contents¶
- class dialoguekit.nlu.models.satisfaction_classifier.SatisfactionClassifier¶
Bases:
abc.ABC
Helper class that provides a standard way to create an ABC using inheritance.
- abstract classify_text(dialogue_text: str | List[str]) int | List[int] ¶
Classifies text.
Allows for both list of string and a single string.
- Parameters:
dialogue_text – Text to be classified.
- Returns:
If the provided input is a list, a list will be returned. If the input is a string, the return will be a single int.
- abstract classify_last_n_dialogue(dialogue: dialoguekit.core.dialogue.Dialogue, last_n: int | None | None = None) int ¶
Classifies the last n utterances in a dialogue.
If last_n is None the whole dialogue will be classified.
- Parameters:
dialogue – Dialogue to classify.
last_n – How many of the last utterances in the dialogue to use for the classification. Defaults to None.
- Raises:
TypeError – If last_n is greater then the length of the dialogue.
- Returns:
Satisfaction classification.
- class dialoguekit.nlu.models.satisfaction_classifier.SatisfactionClassifierSVM¶
Bases:
SatisfactionClassifier
SVM Satisfaction classifier.
The SVM model is pre-trained on the English data from: https://github.com/sunnweiwei/user-satisfaction-simulation
It classifies the users overall satisfaction with the system. Based on the agents responses to the user.
- The scale:
1: Very dissatisfied 2: Dissatisfied 3: Normal 4: Satisfied 5: Very Satisfied
- classify_text(dialogue_text: str | List[str]) int | List[int] ¶
Classifies satisfaction.
- Parameters:
dialogue_text – Text to classify.
- Returns:
The classification score to the utterances.
- classify_last_n_dialogue(dialogue: dialoguekit.core.dialogue.Dialogue, last_n: int | None | None = None) int ¶
Classifies the n last dialogues.
- Parameters:
dialogue – Dialogue object to classify.
last_n – Number of the last utterances to use for classification. Defaults to None.
- Returns:
Classification score.