Social Media Sentiment Polarity

This dataset contains synthetic social media posts and their associated comments, each labeled with sentiment (positive, negative, neutral) and optional sentiment scores. It is designed for training and benchmarking machine learning and NLP models in social analytics, enabling fine-grained sentiment analysis across multiple platforms and languages.

This dataset provides granular sentiment analysis of user-generated social media posts and interactions, including engagement metrics, language, and location data. It enables platforms and analysts to track sentiment trends over time, correlate sentiment with user engagement, and visualize sentiment patterns across multiple social networks. Ideal for brand monitoring, market research, and user exp

This dataset provides a comprehensive view of user sentiment and engagement for social media posts, including sentiment scores, categorical labels, engagement metrics, and brand mentions across multiple platforms. It enables in-depth analysis of user perception, engagement trends, and brand reputation, supporting marketing strategy and customer experience initiatives.