Luxury and nationalities, my first data science project

2026-05-22 · Source: NLP on Medium · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Data Science & Analytics · Depth: Novice, quick

Summary

Miriam (Miris-01) has completed her inaugural data science project, which investigates the level of demand required by luxury tourism across various nationalities. The project utilizes the "515K Hotel Reviews Data in Europe" dataset, compiled by Jiashen Liu, to perform sentiment analysis and Natural Language Processing. This analysis aims to discern how different national groups influence the demand for luxury travel experiences, providing insights into specific market segments. As her first venture into data science, Miriam has made the GitHub repository for the project publicly available and is actively seeking feedback to enhance her skills as a competent data analyst. The work was developed as part of the Evolve! program.

Key takeaway

For aspiring data analysts or students embarking on their first data science project, Miriam's work offers a tangible example of applying NLP and sentiment analysis to real-world data. You should review her GitHub repository to understand a practical application of these techniques on the "515K Hotel Reviews Data in Europe" dataset. Consider providing constructive feedback on her project, as engaging with early-career work can also refine your own analytical perspective and communication skills.

Key insights

The project applies sentiment analysis and NLP to hotel reviews to understand luxury tourism demand by nationality.

Method

The project analyzes luxury tourism demand by nationality using Sentiment Analysis and Natural Language Processing on the "515K Hotel Reviews Data in Europe" dataset.

Topics

• Data Science Project
• Sentiment Analysis
• Natural Language Processing
• Hotel Reviews
• Luxury Tourism
• Data Analysis

Code references

• Miris-01/evolve-project-01

Best for: AI Student, Data Scientist, Data Analyst

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Editorial summary, takeaway, and curation by AIssential. Original article published by NLP on Medium.