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EarthDay Tweet Insights Dataset
Data Science and Analytics
Tags and Keywords
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Free
About
This dataset contains tweets related to Earth Day 2022, collected on 22nd April 2022. It is a CSV file that includes scraped tweet content along with extracted features such as sentiment (positive/negative) and emotion (e.g., joy, optimism) scores, account tags, and hashtags. The data was gathered using Pattern’s data mining module for Twitter and processed with Python libraries, including HuggingFace transformers for sentiment and emotion analysis. This resource is valuable for exploring public opinion and emotional responses surrounding environmental awareness.
Columns
- text: The full content of the tweet.
- hash_tags: A list of hashtags identified within the tweet.
- account_tags: A list of user accounts mentioned in the tweet.
- emoji_lists: A list of emojis extracted from the tweet text.
- sentiment: The overall sentiment of the tweet, categorised as 'POSITIVE' or 'NEGATIVE', determined by a sentiment-analysis pipeline. Roughly 66% are positive and 34% are negative.
- emotion: The predominant emotion expressed in the tweet, such as 'joy' (approximately 56%) or 'optimism' (approximately 36%), classified using a transformer model.
Distribution
The dataset is delivered as a CSV file. It contains 50,183 unique tweet entries or records, offering a substantial body of text for analysis.
Usage
This dataset is ideal for:
- Social media trend analysis concerning environmental topics.
- Sentiment and emotion analysis of public discourse.
- Natural Language Processing (NLP) tasks, including text classification and entity recognition.
- Exploratory data analysis and data visualisation projects.
- Understanding online community discussions about global events.
Coverage
The dataset focuses exclusively on tweets containing the keywords "earth day" or "earthday" posted on 22nd April 2022. The data collection was global, reflecting discussions from users worldwide during this specific timeframe.
License
CC0
Who Can Use It
This dataset is suited for:
- Data scientists and analysts performing social media research.
- Researchers studying public opinion, digital communication, or environmental awareness.
- Organisations interested in tracking real-time public sentiment during events.
- Students learning about data mining, NLP, or sentiment analysis.
Dataset Name Suggestions
- Earth Day 2022 Twitter Sentiment Analysis
- Global Earth Day Tweets and Emotions
- 2022 Earth Day Social Media Activity
- EarthDay Tweet Insights Dataset
Attributes
Original Data Source: EarthDay 2022 Tweets
QUALITY