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Social Media Sentiment Data
Social Media and Posts
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Free
About
This dataset offers a unique approach to sentiment analysis, focusing on the emotional tones within textual content from tweets. It includes annotations for various sentiments, such as happiness, sadness, and anger, distributed among thirteen distinct emotion labels. This Natural Language Processing dataset consists of 40,000 data rows, providing a substantial collection of instances for analysis.
Columns
- tweet_id: A unique identifier for each tweet.
- sentiment: Describes the emotion behind the message, with examples including neutral and worry. This column contains thirteen unique emotional labels.
- author: Provides the name of the tweet's author, with over 33,000 unique authors represented.
- content: The actual text message of the tweet, featuring nearly 40,000 unique text entries.
Distribution
The dataset is typically provided in a CSV format, specifically as
Sentiment_Analysis.csv, and has a file size of 4.39 MB. It comprises 40,000 individual data rows and includes four distinct columns.Usage
This dataset is well-suited for applications in sentiment analysis and Natural Language Processing. A portion of this data was previously used in an experiment showcased on Microsoft's Cortana Intelligence Gallery, demonstrating its utility in practical scenarios.
Coverage
The dataset's data rows were made available as of 15th July 2016. It includes general textual content from tweets, focusing on sentiment and emotional tones. Specific geographic or demographic scopes are not detailed.
License
Public Domain (CC0)
Who Can Use It
This dataset is ideal for researchers, data scientists, and anyone interested in the field of Natural Language Processing, particularly for projects involving sentiment analysis, emotion detection in text, or building machine learning models for textual classification.
Dataset Name Suggestions
- Tweet Emotion Analysis
- Twitter Sentiment Labels
- Emotions in Tweets Dataset
- Social Media Sentiment Data
Attributes
Original Data Source: Social Media Sentiment Data
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