About the Sentiment Classifier
Understanding the background, engineering scope, and operational metrics of Trishul Eco-Homestays.
Context: Trishul Eco-Homestays
Nestled in the serene hills, Trishul Eco-Homestays offers guests a chance to slow down, connect with nature, and experience traditional Himalayan hospitality. Over the past year, as our capacity expanded across booking platforms (like Airbnb, Booking.com, and Google Maps), the volume of guest reviews grew exponentially.
With a small, localized team focusing on active hosting, we had no dedicated capacity to read, categorize, and draft appropriate management replies for these reviews. This Web Tool is designed to assist our administrative and hosting staff by streamlining feedback management.
Core Objectives
1. Sentiment Tagging
Automatically identifies whether feedback is Positive, Neutral, or Negative. Helpful for filtering alerts.
2. Theme Identification
Categorizes review sentences into 6 core themes to pinpoint operational issues or highlight customer service wins.
3. Draft Responses
Generates a one-line professional, welcoming response tailored to the theme, respecting local hospitality ethics.
Theme Classification Reference
Food
Mentions of meals, cooking, breakfast, dinner, spices, or local Kumaoni cuisine prepared by homestay caretakers.
Host & Staff
Feedback regarding owners, hosts, guides, hospitality gestures, greeting warmness, or staff helpfulness.
Location & Views
Mentions of Himalayan scenic peaks, altitude, quiet trails, walking paths, isolation, or directions to the property.
Cleanliness
Comments on room dusting, bathroom status, fresh bed linens, towel setups, and sanitation quality.
Value
Assessments of room booking prices, meal costs, transportation rates, and overall worth of the homestay experience.
General Experience
Broad reviews, summer retreats, seasonal bookings, overall ratings, or returning recommendations.