What is the ChatGPT Tweets Sentiment Analysis Dataset used for?

This dataset is used for training and evaluating NLP models for sentiment analysis, opinion mining, and social media trend analysis related to ChatGPT discussions.

Is the dataset preprocessed and cleaned?

Yes, the dataset includes clean and preprocessed tweets with structured sentiment labels, making it suitable for machine learning and deep learning workflows.

What sentiment categories are included?

The dataset typically includes positive, negative, and neutral sentiment classifications to support supervised learning models.

Can GTS provide custom social media datasets?

Yes, GTS offers customized social media data collection, annotation, and preprocessing services tailored to specific domains, languages, and AI model requirements.

ChatGPT Tweets Sentiment Analysis (Clean Data)

Datasets

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ChatGPT Tweets Sentiment Analysis (Clean Data)

Use Case

ChatGPT Tweets Sentiment Analysis (Clean Data)

Description

Discover the Enhanced ChatGPT Tweets Dataset with clean, preprocessed tweets and sentiment analysis. Perfect for AI research, NLP projects, and social media trend analysis during ChatGPT's launch phase.

Description:

Explore global public sentiment and discussions from ChatGPT’s launch phase (Nov 30, 2022 – Feb 11, 2023). Features clean, preprocessed tweets with sentiment analysis for AI, NLP, and social media analytics.

Download Dataset

The Enhanced ChatGPT Tweets Dataset expands upon the original dataset, offering improved preprocessing and analysis to maximize usability and insights. It captures global public reactions, opinions, and discussions during ChatGPT’s launch phase, spanning from November 30, 2022, to February 11, 2023.

Key Features:

Data Cleaning:
- Encoding errors corrected for consistency.
- Invalid rows and unnecessary elements (e.g., hashtags, URLs) removed.
- Emojis converted into meaningful text descriptions using demoji.
Sentiment Analysis:
- Added sentiment labels (Positive, Neutral, Negative) for each tweet using a Hugging Face pre-trained model, enabling easy sentiment-based filtering and analysis.

Applications:

Sentiment Analysis: Explore public sentiment trends during ChatGPT’s initial launch phase.
Social Media Analytics: Study global discussions, opinions, and reactions surrounding AI innovations.
NLP Model Training: Utilize clean, structured data for training and fine-tuning natural language processing models.

This dataset is sourced from Kaggle.

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ChatGPT Tweets Sentiment Analysis (Clean Data)