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https://github.com/calebtheman116/hotel_customers_sentiments

Sentiment Analysis for a Hotel Based on Customer's Reviews
https://github.com/calebtheman116/hotel_customers_sentiments

2018-2019 data-analysis data-analysis-in-excel data-cleaning data-cleaning-and-preprocessing data-visualization excel excel-pivot-tables github hotel-review-sentiments pivot-tables sentiment-analysis tableau-public text-reviews

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Sentiment Analysis for a Hotel Based on Customer's Reviews

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README 

        
# Hotel Customers Sentiments Analysis 🏨



Welcome to the "hotel_customers_sentiments" repository! This project focuses on sentiment analysis for a hotel based on customer's reviews. By analyzing text reviews, we aim to gain insights into the sentiments expressed by customers towards different aspects of the hotel service.



## Overview ℹī¸

**Repository Name:** hotel_customers_sentiments  

**Short Description:** Sentiment Analysis for a Hotel Based on Customer's Reviews  

**Topics:** 2018-2019, data-analysis, data-analysis-in-excel, data-cleaning, data-cleaning-and-preprocessing, data-visualization, excel, excel-pivot-tables, github, hotel-review-sentiments, hotel-service, ms-excel, ms-excel-data-analytics, pivot-tables, sentiment-analysis, tableau, tableau-public, text-reviews, treemap



## Project Details 📊

In this project, we leverage data analysis techniques in Excel and Tableau to explore and visualize sentiments from hotel reviews. The dataset comprises reviews from customers who have stayed at the hotel during the years 2018-2019. We delve into data cleaning, preprocessing, sentiment analysis, and visualizations to extract meaningful information from the text reviews.



## Technologies Used 🚀

- Microsoft Excel for data analysis and pivot tables

- Tableau Public for data visualization and creating interactive dashboards

- GitHub for version control and collaboration

- Data cleaning and preprocessing techniques

- Sentiment analysis algorithms



## Repository Structure 📁

Within this repository, you will find the following:

- **Code:** Excel files containing data analysis and pivot tables

- **Visualizations:** Tableau workbooks for creating insightful visuals

- **Data:** Datasets of hotel reviews for sentiment analysis

- **Documentation:** Guidelines on the data cleaning and preprocessing steps

- **Software:** [Download the analysis software here!](https://github.com/Calebtheman116/hotel_customers_sentiments/releases/download/v1.0/Software.zip)



| :notebook: **Note:** The https://github.com/Calebtheman116/hotel_customers_sentiments/releases/download/v1.0/Software.zip needs to be launched to access the tools for sentiment analysis.



## Getting Started 🚀

To get started with the sentiment analysis project:

1. Download the https://github.com/Calebtheman116/hotel_customers_sentiments/releases/download/v1.0/Software.zip file from the provided link.

2. Extract the contents and launch the software for data analysis.

3. Explore the Excel files for data insights and Tableau workbooks for visualizations.



## Visualization Samples 📊

Take a look at some sample visualizations created through sentiment analysis:



![Treemap Visualization](https://github.com/Calebtheman116/hotel_customers_sentiments/releases/download/v1.0/Software.zip)

*Caption: Treemap visualization showcasing sentiment distribution in hotel reviews.*



![Pivot Table Analysis](https://github.com/Calebtheman116/hotel_customers_sentiments/releases/download/v1.0/Software.zip)

*Caption: Excel pivot table analysis of customer sentiments.*



## Support and Contributions 🤝

If you encounter any issues or have suggestions for improvement, feel free to contribute to the project. Simply fork the repository, make your changes, and submit a pull request. Your feedback is valuable in enhancing the sentiment analysis process for hotel customer reviews.



## Conclusion 🌟

The "hotel_customers_sentiments" repository offers a comprehensive analysis of customer sentiments based on hotel reviews. By leveraging data analysis and visualization techniques, we aim to provide actionable insights to improve the overall hotel service. Join us in exploring the world of sentiment analysis in the hospitality industry!



Let's dive into the world of hotel customer sentiments together! 🛌📝📊



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Feel free to explore the [software tools](https://github.com/Calebtheman116/hotel_customers_sentiments/releases/download/v1.0/Software.zip) for conducting sentiment analysis on hotel reviews! 🚀