beginnertext
Intent Classification
Classify user utterances into intents for chatbot and virtual assistant training.
Fichier de configurationconfig.yaml
# Intent Classification Configuration
# Classify user utterances for chatbot training
task_dir: "."
annotation_task_name: "Intent Classification"
data_files:
- "data/utterances.json"
item_properties:
id_key: "id"
text_key: "utterance"
text_display_key: "utterance"
user_config:
allow_all_users: true
annotation_schemes:
- annotation_type: "radio"
name: "primary_intent"
description: "What is the user's primary intent?"
labels:
- name: "greeting"
tooltip: "Hello, hi, good morning, etc."
key_value: "g"
- name: "goodbye"
tooltip: "Bye, see you, take care, etc."
key_value: "b"
- name: "thanks"
tooltip: "Thank you, appreciate it, etc."
key_value: "t"
- name: "help"
tooltip: "Request for assistance or information"
key_value: "h"
- name: "complaint"
tooltip: "Expressing dissatisfaction"
key_value: "c"
- name: "purchase"
tooltip: "Wanting to buy something"
key_value: "p"
- name: "cancel"
tooltip: "Wanting to cancel order/subscription"
key_value: "x"
- name: "status_check"
tooltip: "Checking order/delivery status"
key_value: "s"
- name: "account_issue"
tooltip: "Login, password, account problems"
key_value: "a"
- name: "refund"
tooltip: "Requesting money back"
key_value: "r"
- name: "feedback"
tooltip: "Providing feedback or suggestions"
key_value: "f"
- name: "other"
tooltip: "Doesn't fit other categories"
key_value: "o"
- annotation_type: "multiselect"
name: "secondary_intents"
description: "Any secondary intents present?"
labels:
- name: "expressing_urgency"
- name: "requesting_human"
- name: "expressing_frustration"
- name: "asking_for_clarification"
- name: "providing_information"
- name: "confirming"
- name: "declining"
- annotation_type: "radio"
name: "sentiment"
description: "What is the sentiment of the message?"
labels:
- name: "Positive"
key_value: "+"
- name: "Neutral"
key_value: "0"
- name: "Negative"
key_value: "-"
- annotation_type: "likert"
name: "clarity"
description: "How clear is the user's intent?"
size: 5
min_label: "Very unclear"
max_label: "Very clear"
- annotation_type: "text"
name: "entities"
description: "List any key entities (product names, dates, etc.)"
required: false
output: "annotation_output/"
output_annotation_dir: "annotation_output/"
output_annotation_format: "json"
Données d'exemplesample-data.json
[
{
"id": "intent_001",
"utterance": "Hi there! I need help with my order.",
"context": "User just opened chat"
},
{
"id": "intent_002",
"utterance": "Where is my package? I ordered it a week ago and it still hasn't arrived!",
"context": "Returning customer"
}
]
// ... and 6 more itemsObtenir ce design
View on GitHub
Clone or download from the repository
Démarrage rapide :
git clone https://github.com/davidjurgens/potato-showcase.git cd potato-showcase/templates/text/intent-classification potato start config.yaml
Détails
Types d'annotation
radiomultiselect
Domaine
nlpconversational-ai
Cas d'utilisation
intent-detectionchatbot-training
Étiquettes
intentchatbotnluvirtual-assistantclassification
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