infinite-dataset-hub/BrandTrustQuantification

BrandTrustQuantification数据集是一个由来自客户评论、社交媒体帖子和品牌通讯等不同来源的文本数据组成的经过精心策划的集合。该数据集已经被标注，用于量化品牌的声誉和企业社会责任（CSR）。它旨在帮助机器学习从业者训练用于声誉建模、信任指数和情感分析的模型，重点在于CSR感知。数据集中的文本条目附有相关标签，用于表示基于内容的品牌声誉和CSR水平的感知。标签是根据预定义标准分配的，这些标准考虑了积极情绪、对道德实践的引用和客户信任。

The BrandTrustQuantification dataset is a curated collection of textual data derived from various sources such as customer reviews, social media posts, and brand communications. The dataset has been labeled to quantify the reputation and corporate social responsibility (CSR) of brands. It is intended to assist machine learning practitioners in training models for reputation modeling, trust indices, and sentiment analysis, focusing on CSR perceptions. The dataset comprises text entries with an associated label that indicates the perceived brand reputation and CSR level based on the content. Labels are assigned based on predefined criteria that consider positive sentiment, references to ethical practices, and customer trust.