Sentimental analysis of hotel reviews

Overview: I implemented a comprehensive business intelligence solution focused on analyzing Moroccan hotel reviews to help hotel owners better understand and meet customer expectations. This project involved several key steps, from data recovery to the creation of advanced interactive dashboards.

Key Contributions:

1. Data Collection:

   • Review Recovery: Retrieved reviews from multiple hotel review sites, ensuring a diverse and comprehensive dataset.

2. Data Preprocessing:

   • Cleaning and Preprocessing: Cleaned and preprocessed the extracted data to remove noise and inconsistencies, ensuring high-quality input for analysis.

3. Sentiment Analysis:

   • Vader Implementation: Used Vader, a powerful sentiment analysis tool, to analyze the sentiment expressed in the reviews. This helped in categorizing customer feedback into positive, negative, and neutral sentiments.

4. Dashboard Development:

   • Interactive Dashboards: Built advanced interactive dashboards using PowerBI. These dashboards provide a simple yet effective user interface for hotel owners to visualize and interpret the data.
   • Graphical Representation: Designed intuitive graphical formats, such as bar charts, pie charts, and trend lines, to represent the sentiment analysis results and other key metrics.

Impact: This business intelligence solution provides hotel owners with valuable insights into customer feedback, enabling them to make data-driven decisions to improve their services and meet customer expectations. The interactive dashboards offer an easy-to-use interface for understanding complex data, facilitating better decision-making and strategic planning.

By including this project in your portfolio, you demonstrate your expertise in data analysis, sentiment analysis, and business intelligence. It highlights your ability to transform raw data into actionable insights, showcasing your skills in data preprocessing, analytical tool implementation, and advanced data visualization.