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Tweet Emotion Dataset
Data Science and Analytics
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About
This dataset is a collection of microblog entries, such as tweets, paired with their corresponding sentiment or emotional labels. It serves as a valuable resource for developing and testing artificial intelligence models capable of predicting emotions from textual content. The dataset's purpose is to provide rich, real-world examples of text and associated human sentiments, making it ideal for tasks like sentiment analysis and emotion detection in Natural Language Processing (NLP) systems.
Columns
- tweet_id: A unique numerical identifier for each individual microblog entry.
- sentiment: The categorised emotion or mood associated with the content. Examples of sentiments found include 'empty', 'sadness', 'enthusiasm', 'neutral', 'worry', 'love', 'fun', and 'surprise'.
- content: The actual text of the microblog entry.
Distribution
The dataset is structured in a tabular format, typically stored as a CSV file. Specific numbers for rows or records are not available in the provided details, but a sample of the data showcases its structure. Further details on the complete file size and record count would be updated separately.
Usage
This dataset is ideally suited for various applications, including:
- Sentiment Analysis: Training machine learning models to identify the emotional tone of text.
- Emotion Detection: Building AI software capable of predicting specific emotions from written content.
- Natural Language Processing (NLP) Research: Exploring and developing new algorithms for text understanding and classification.
- Academic Projects and Theses: Providing a practical dataset for research and development in text-based AI.
- Social Media Monitoring: Analysing public sentiment on various topics based on microblog data.
Coverage
The dataset primarily covers textual content from microblogs. While a specific geographic region is not stated for the collected tweets, such data is typically global in nature. No explicit time range for the original data collection is provided. The demographic scope is broad, reflecting general microblog users, with no specific notes on availability for certain groups or years.
License
CCO
Who Can Use It
This dataset is intended for a wide range of users, including:
- Data Scientists: For building and evaluating sentiment and emotion prediction models.
- Machine Learning Engineers: For training and fine-tuning text classification algorithms.
- Academic Researchers and Students: For use in theses, projects, and scientific studies related to NLP and AI.
- Developers: Those looking to integrate sentiment analysis capabilities into their applications.
- Anyone interested in: Natural Language Processing, text analytics, and understanding emotional patterns in digital communication.
Dataset Name Suggestions
- Microblog Sentiment Compendium
- Tweet Emotion Dataset
- Social Text Moods
- Sentiment Classification Microblogs
- Digital Moods Dataset
Attributes
Original Data Source: Emotion Prediction with Quantum5 Neural Network AI
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