AI/NLP Insights
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AI/NLP Insights
AI/NLP INSIGHTS
Powering Review Intelligence and Travel Personalization with Machine Learning
Problem Statement
“A travel recommendation platform aimed to help hotels and OTAs drive guest satisfaction by extracting intelligent insights from multilingual online reviews across multiple sources.”
- NLP complexity across multiple languages and dialects
- Required hospitality-specific taxonomy with high precision
- Difficulty in training models continuously with new review data
- Weighted ranking of reviews from different platforms
Business Outcomes
13%
Increase in hotel occupancy through actionable guest insights
30%
Improvement in recommendation relevancy across regions
Solutions
- Built and managed a Machine Learning and Lexical Analytics platform using Stanford NLP and proprietary algorithms
- Developed multi-level hospitality-specific taxonomy with region-based overrides
- Enabled continuous training and deployment using a scalable ML-Ops infrastructure
- Integrated NLP and Deep Learning models to extract contextual, sentiment-driven insights
- Provided custom dashboards and visualizations to help businesses track service improvements
Technological Framework
AI/ML Frameworks:
- Stanford NLP
- PyTorch
- Keras
- TensorFlow
- SciKit Learn
- Custom Algorithms
Data & Visualization:
- OpenCV
- Custom Charts
- Cassandra
- AWS Native Services
DevOps & Infrastructure:
- Docker
- Python