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Social Media Emotional Trends Data
Social Media and Posts
Tags and Keywords
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Free
About
This dataset provides a fascinating look into the emotions, trends, and interactions present across various social media platforms. It captures user-generated content, including textual expressions, timestamps, hashtags, geographical locations, and engagement metrics such as likes and retweets. Each entry reveals a unique story of surprise, excitement, admiration, thrill, and contentment shared by individuals worldwide. The dataset's purpose is to allow exploration of the emotional landscape of social media.
Columns
- Text: The actual user-generated content, offering insights into diverse sentiments.
- Sentiment: Categorised emotions for meaningful analysis, such as surprise, excitement, admiration, thrill, and contentment.
- Timestamp: Date and time details that provide a temporal dimension to the data.
- User: Unique identifiers for contributors, enabling user-specific insights.
- Platform: Indicates the social media platform where the content originated, useful for platform-specific analysis.
- Hashtags: Identifies trending topics and themes within the content.
- Likes: Quantifies user engagement, reflecting appreciation for content.
- Retweets: Shows content popularity and the extent of its reach.
- Country: The geographical origin of each post, facilitating geographical analysis.
- Year, Month, Day, Hour: Further temporal details for detailed time-based analysis.
Distribution
The dataset is provided in CSV format, with individual files for different data attributes. The current version (Version 1) has a total size of 159.5 kB. The Timestamp column indicates approximately 683 unique time entries. The data structure consists of multiple individual CSV files that together form the dataset.
Usage
This dataset is ideal for a variety of analytical applications:
- Sentiment Analysis: Explore the emotional environment by classifying user-generated content into different emotional categories.
- Temporal Analysis: Investigate trends over time, spotting patterns, changes, or recurring themes in social media content.
- User Behaviour Insights: Analyse user engagement through likes and retweets to discover popular content and user preferences.
- Platform-Specific Analysis: Examine content variations across different social media platforms to understand how sentiments differ.
- Hashtag Trends: Identify popular topics and themes by analysing hashtags.
- Geographical Analysis: Explore content distribution based on the country of origin to understand regional variations in sentiment and topic preferences.
- User Identification: Use user identifiers to track specific contributors and analyse the influence of key users on sentiment trends.
- Cross-Analysis: Combine several features for in-depth insights, such as analysing sentiment trends across time, platforms, and countries.
Coverage
The dataset's geographic scope is global, reflecting content shared by individuals from various countries. The time range for the data spans from at least April 2016 to September 2023, offering a significant period for temporal analysis. It covers user-generated content from diverse social media platforms, providing insights into general user demographics and interactions.
License
CC0: Public Domain
Who Can Use It
This dataset is particularly useful for researchers, data scientists, marketing analysts, social media strategists, and academics. It enables them to gain insights into social media interactions, user behaviour, emotional trends, and content performance across different platforms and regions.
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Attributes
Original Data Source: Social Media Emotional Trends Data
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