infinite-dataset-hub/SentimentChats

SentimentChats数据集是一个包含人类文本对话的集合，每个交互都被标记为相应的情感表达。该数据集旨在用于训练和评估机器学习模型在情感分析和聊天机器人交互方面的性能。数据集包含了来自不同领域的对话，如客户服务、社交媒体和电子商务，以确保对话上下文的多样性。‘labels’列包括积极、消极和中立情感，用于分类对话中传达的整体情感反应。此外，还有一个‘topic’列，用于指示对话的主题，以进行更细致的分析。

The SentimentChats dataset is a collection of human text conversations where each interaction has been labeled with the corresponding sentiment expressed. It is designed for training and evaluating machine learning models in the context of sentiment analysis and chatbot interaction. The dataset contains dialogue from various domains, including customer service, social media, and e-commerce, to ensure diversity in the conversational contexts. The labels column includes positive, negative, and neutral sentiments to classify the overall emotional response conveyed in the conversation. Additionally, there is a topic column to indicate the domain of the conversation for more granular analysis.