Sentiment Analysis Data Visualization Project

Project Purpose

This mini visualization project aims to address these key questions:

What are the overall sentiment trends (positive, negative, neutral, mixed) for a specific game title over time?
How does the "emotional divergence level" vary across different game titles based on the sentiment distribution of posts?

The dataset was extracted in this timeframe: March 30, 2025 - April 30, 2025.

Background

This project presents a standalone data visualization of social media sentiment regarding various game titles. It complements the original author's project, data-pipeline-sentimental, which focuses on building a data pipeline and includes its own web application interface available at sentimental-web.vercel.app.

Tools Utilized

The project workflow involved:

Data extraction and initial exploration using R and R notebook.
Data transformation, including the calculation of the emotional divergence score, performed in R.
Interactive data visualization developed using Tableau.

Dataset Origin

The dataset originates from the project data-pipeline-sentimental, a data pipeline designed for collecting and analyzing sentiment from Reddit and Steam game posts.

Access to this database was provided by the project author.

Key Metrics

Sentiment labels (POSITIVE, NEGATIVE, NEUTRAL, MIXED) are assigned to each post through Natural Language Processing (NLP) techniques, typically involving machine learning models trained to classify text based on emotional tone.
The "emotional divergence level" (derived from the original project's controversy score) quantifies the degree of mixed or conflicting sentiment surrounding a game title. It is calculated based on the distribution of daily average sentiment scores, giving higher weight to days where positive and negative sentiments are closely balanced, indicating a higher level of divergence.
Please refer to the original author's project for more information.

Data Visualization Showcase

Dashboard 1: Metrics of All Games

Analyze aggregated metrics and compare emotional divergence levels across all game titles.

Dashboard 2: Metrics of Single Games

Explore detailed sentiment trends and metrics for individual game titles.