syedkhalid076/Sentiment-Analysis

该数据集专为情感分析任务设计，提供了三个情感类别的标注示例：负面（0）、中性（1）和正面（2）。数据集经过预处理，去除了重复项和空值，并进行了清洗以确保一致性。数据集分为训练集、验证集和测试集，分别包含83,989、10,499和10,499条数据。数据格式为CSV，每行包含文本和对应的情感标签。数据集适用于社交媒体情感分析、客户反馈评估和意见挖掘等任务。

This dataset is designed for sentiment analysis tasks, providing labeled examples across three sentiment categories: Negative, Neutral, and Positive. It is suitable for training, validating, and testing text classification models in tasks such as social media sentiment analysis, customer feedback evaluation, and opinion mining. The dataset is stored in CSV format, containing text and corresponding sentiment labels. The dataset is split into training, validation, and test sets with 83,989, 10,499, and 10,499 rows respectively. The dataset has been preprocessed by removing duplicates, null values, and ensuring consistency.