数据智能分析与优化基础架构数据集

用户购买空调后评论数据集，用户对于空调关键需求数据集
①用户需求参数：用户对海尔空调的外观，功率能耗，匹数等性能需求数据；
②用户评论参数：用户对于使用过的海尔空调外观、冷暖效果、能耗、变频等性能做出具体评价
③用户关于空调关键需求:用户产品生命周期，用户聊天记录中提取的需求关键词组合，用户预期使用空调地点，用户预期使用空调的面积，用户预期购买空调价格，用户预期购买空调类型
采集方案： Python Requests爬虫框架
采集地点：淘宝，问卷星，可持续交互系统
采集时间：2022年12月。数据量54.8MB

This dataset contains two sub-datasets: the Haier Air Conditioner Post-purchase User Review Dataset and the Air Conditioner User Core Demand Dataset.
1. User Demand Parameters: Performance demand data of users for Haier air conditioners, including appearance, power consumption, cooling capacity (locally called "pi" in the Chinese air conditioner market) and other related indicators;
2. User Review Parameters: Specific performance evaluations from users who have used Haier air conditioners, covering appearance, cooling/heating effect, energy consumption, inverter technology and other aspects;
3. User Core Air Conditioner Demands: A collection of demand keywords extracted from users' product life cycles and chat records, as well as users' expected installation locations, applicable area, intended purchase price and target type of air conditioners.

Collection Framework: Python Requests crawler framework
Collection Platforms: Taobao, Wenjuanxing, Sustainable Interaction System
Collection Time: December 2022
Total Data Volume: 54.8 MB

搜集汇总

背景与挑战

背景概述

该数据集包含用户对海尔空调的评论和需求数据，涵盖外观、功率能耗、匹数等性能需求，以及用户使用后的具体评价。数据采集自淘宝、问卷星等平台，时间跨度为2022年12月，数据量为54.8MB，格式为xlsx和docx。