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Social Media Sentiment Insights
Social Media and Posts
Tags and Keywords
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Free
About
This dataset captures a vibrant tapestry of emotions, trends, and interactions across various social media platforms. It provides a snapshot of user-generated content, encompassing text, timestamps, hashtags, countries, likes, and retweets. Each entry unveils unique stories—moments of surprise, excitement, admiration, thrill, and contentment—shared by individuals globally.
Columns
- Text: User-generated content showcasing sentiments.
- Sentiment: Categorised emotions found in posts, such as Positive, Joy, and many others.
- Timestamp: The date and time when the content was posted.
- User: Unique identifiers for the users who contributed the content.
- Platform: The specific social media platform where the content originated, for example, Instagram or Facebook.
- Hashtags: Keywords or phrases used to identify trending topics and themes.
- Likes: A numerical value quantifying user engagement for the content.
- Retweets: A numerical value reflecting the content's popularity and reach.
- Country: The geographical origin of each social media post.
- Year: The year in which the post was made.
- Month: The month in which the post was made.
- Day: The day of the month on which the post was made.
- Hour: The hour of the day when the post was made.
- Unnamed: 0 / Index: An index column for the entries.
Distribution
The dataset is typically in CSV format. It has a size of 170.78 kB and contains 15 columns. There are 732 valid records for most columns.
Usage
This dataset is a rich source of information for various analytical purposes:
- Sentiment Analysis: Explore the emotional landscape by analysing the 'Text' column, classifying user-generated content into various emotion categories.
- Temporal Analysis: Investigate trends over time using the 'Timestamp' column to identify patterns, fluctuations, or recurring themes.
- User Behaviour Insights: Analyse user engagement through 'Likes' and 'Retweets' to discover popular content and user preferences.
- Platform-Specific Analysis: Examine variations in content across different social media platforms using the 'Platform' column to understand how sentiments vary.
- Hashtag Trends: Identify trending topics and themes by analysing the 'Hashtags' column to uncover popular or recurring hashtags.
- Geographical Analysis: Explore content distribution based on the 'Country' column to understand regional variations in sentiment and topic preferences.
- User Identification: Use the 'User' column to track specific users and their contributions, analysing the impact of influential users on sentiment trends.
- Cross-Analysis: Combine multiple features for in-depth insights, such as analysing sentiment trends over time or across different platforms and countries.
Coverage
The dataset captures user-generated content from individuals worldwide, with posts originating from 115 unique countries, including the USA. The time range of the data spans from 15 May 2010 to 23 October 2023.
License
CC0: Public Domain
Who Can Use It
This dataset is suitable for:
- Analysts and researchers performing sentiment analysis on social media text.
- Individuals investigating temporal trends and patterns in digital content.
- Organisations seeking insights into user engagement and content popularity across platforms.
- Experts examining variations in content and sentiment across different social media platforms.
- Trendspotters aiming to identify popular topics and hashtags.
- Geographical analysts exploring regional differences in online sentiment.
- Researchers tracking user contributions and the impact of influential users.
- Data scientists combining multiple data points for advanced social media insights.
Dataset Name Suggestions
- Social Media Sentiment Insights
- Digital Emotion Tracker
- Global Sentiment Stream
- Social Trends Analyser
- User Emotion Tapestry
Attributes
Original Data Source: Social Media Sentiment Insights
QUALITY