Welcome to the Dutch Social Media Analysis project! 🚀 This analysis delves into the Dutch Social Media Collection from Kaggle, featuring 10 files with diverse tweets from users within the Netherlands or tweeting in Dutch.
- Identifying Influencers: Discover the most active users on the platform and analyze their posting behavior.
- Handling Missing Values: Address the challenge of missing data for accurate analyses.
- Geographical Insight: Visualize the regions of the top 10 influencers using a pie chart.
- Daily Activity Analysis: Understand the daily posting habits of influencers through a stacked bar chart.
- Sentiment Analysis: Explore sentiment scores across all users over time, identifying potential correlations with notable events.
- Day-of-the-Week Analysis: Investigate patterns in sentiment scores throughout the week.
- Word Cloud Analysis: Generate a word cloud to highlight the prevalent topics, with a particular focus on the dominant theme.
- 🌐 Geographical Insights: Dive into the regions of the most active Twitter users.
- 📈 Daily Habits: Visualize the daily posting habits of influencers with a stacked bar chart.
- 🌐 Sentiment Trends: Explore sentiment score changes over time for intriguing insights.
- 📅 Day-of-the-Week Patterns: Uncover patterns in sentiment scores throughout the week.
- ☁️ Word Cloud Magic: Identify prevalent topics, with Covid-19 emerging as a dominant theme.
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