infinite-dataset-hub/SocialSentimentEcho

SocialSentimentEcho数据集是一个包含来自不同社交媒体平台推文的集合，这些推文经过机器学习模型的情感分析，并被分成了积极、消极、中性、喜悦、愤怒和惊讶等不同的情感类别。该数据集旨在帮助研究社交媒体上的情感趋势以及情感分析模型的效果。

The SocialSentimentEcho dataset is a collection of tweets from various social media platforms that have been analyzed for sentiment using a machine learning model and categorized into different sentiment classes such as Positive, Negative, Neutral, Joy, Anger, and Surprise. The dataset is designed to assist in researching emotional trends on social media and the effectiveness of sentiment analysis models.