产品直播销售互动信息分析数据集

1、数据采集：从直播弹幕、评论区采集用户反馈文本，包括提问、评价、建议、投诉等；
2、数据处理：1）对反馈内容进行分类（如：评论、点赞、分享、提问等）；2）统计各类反馈的出现次数；3）计算每种反馈类型在总反馈次数中的占比，特别是识别出反馈次数最多和最少的类型及其占比；4）分析不同日期或时间段内用户互动行为的变化趋势，识别高峰期和低谷期；
3、数据应用：输出用户反馈报告，指导产品与服务优化。

1. Data Collection: Collect user feedback texts including questions, evaluations, suggestions, complaints and other types of content from live stream bullet comments and comment sections;
2. Data Processing: 1) Classify the collected feedback content into categories such as comments, likes, shares, questions, etc.; 2) Count the number of occurrences for each feedback category; 3) Calculate the proportion of each feedback category in the total number of feedback instances, and specifically identify the categories with the highest and lowest occurrence frequencies along with their corresponding proportions; 4) Analyze the variation trends of user interaction behaviors across different dates or time periods, and identify peak and trough periods of user engagement;
3. Data Application: Generate comprehensive user feedback reports to provide guidance for product and service optimization.

搜集汇总

背景与挑战

背景概述

该数据集由贵州佳里佳农业发展有限公司自行产生，规模为20KB，每日更新，专注于分析产品直播销售中的用户互动信息，如弹幕和评论，用于情感倾向分析和反馈分类，以支持内容优化、危机预警及用户需求挖掘，提升品牌响应能力。