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Automating Customer Support Tickets with Sentiment Analysis

Last updated on 12 days ago
K
KevinMember
Posted 12 days ago
Classify support tickets by urgency using sentiment analysis.
from transformers import pipeline

# Load sentiment analysis model
sentiment_analyzer = pipeline("sentiment-analysis")

# Sample support tickets
tickets = [
 "I'm furious! My product arrived broken!",
 "I'm so happy with the service, thank you!",
 "The website is not working, and I can't log in."
]

# Analyze sentiment and classify urgency
for ticket in tickets:
 sentiment = sentiment_analyzer(ticket)[0]
 urgency = "High" if sentiment["label"] == "NEGATIVE" else "Low"
 print(f"Ticket: {ticket}\nSentiment: {sentiment['label']}, Urgency: {urgency}\n")
K
KevinMember
Posted 12 days ago
Sentiment Analysis: Classify support tickets or social media feedback to prioritize responses.
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