普通食品类小红书直播带货违法监测预警数据

对采集的小红书平台带货品类为普通食品类的达人直播视频内容进行转译分析，对达人口播语言内容进行处理、分析，根据达人在直播过程中对预先设置的违规敏感词（比如：增强免疫力，降血脂，降血糖，抗氧化，改善记忆，缓解视疲劳，促进排铅，清咽，辅助降血压，改善睡眠，促进泌乳，缓解体力疲劳，提高缺氧耐受力，抗辐射，减肥等）违反的次数和频率，依据触发条件规则提出警告或处理。为诸暨市市场监督局管理区域内规范企业小红书直播行为，提供数据支持。将采集完成的直播视频进行进行预处理，第一步：基于原始视频文件，以最大10分钟单位对原始视频进行切片。第二步：对于已完成的切片视频，进行视频内容转语音操作。第三步：对于已完成视频转语音操作的切片，进行语音转文本操作。第四步：使用OCR技术对原始视频中抓取的图片进行文字提取操作。第五步：将所得到的文字内容与违法预警关键词库进行匹配。最终运用多标准决策分析模型，对主播在直播过程中出现的违规语句进行分析计算，得出违法预警值和是否预警判断。
违法预警值=（违法预警单关键词命中次数*0.25）+（违法预警组合关键词命中次数* 0.3）+（图片识别命中预警组合关键词个数*0.35）+（直播间近一个月历史违规记录数*0.1）
通过公式计算出最终违法预警值，违法预警值 ≤1 时，不触发预警提示，违法预警值 ＞1 时触发违法预警提示。

This dataset focuses on the transcription and analysis of live streaming video content from Xiaohongshu influencers promoting general food products. The spoken content of the influencers is processed and analyzed, and warnings or corresponding actions are issued based on the number and frequency of violations of pre-set sensitive violation keywords (including: "enhance immunity", "lower blood lipid", "lower blood glucose", "anti-oxidation", "improve memory", "relieve eye fatigue", "promote lead excretion", "throat soothing", "assist in lowering blood pressure", "improve sleep", "promote lactation", "relieve physical fatigue", "improve hypoxia tolerance", "radiation resistance", "weight loss", etc.) during live streaming, in accordance with trigger condition rules. This work provides data support for standardizing the live streaming behaviors of enterprises within the regulated jurisdiction of the Zhuji City Market Supervision Bureau.

The collected live streaming videos undergo the following preprocessing steps:
1. Slice the original video files into chunks of up to 10 minutes each;
2. Convert the sliced video content to audio;
3. Convert the audio content from the sliced videos to text;
4. Extract text from images captured from the original videos using Optical Character Recognition (OCR) technology;
5. Match the obtained text content against the violation warning keyword database.

Finally, a multi-criteria decision analysis (MCDA) model is applied to analyze and calculate the violating statements made by the streamer during the live stream, to derive the violation warning score and determine whether a warning should be issued. The violation warning score is calculated using the following formula:
Violation Warning Score = (Number of hits for individual violation warning keywords * 0.25) + (Number of hits for combined violation warning keywords * 0.3) + (Number of combined warning keywords identified via image recognition * 0.35) + (Number of historical violation records of the live stream room in the past month * 0.1)

Based on the calculated final violation warning score, no warning alert will be triggered if the score is ≤ 1, while a violation warning alert will be triggered if the score is > 1.

原始信息汇总

数据集概述

数据集名称

浙江省数据知识产权登记平台

数据集描述

浙江省数据知识产权登记平台是由浙江知识产权研究与服务中心推出的区块链数据知识产权登记系统。该系统支持数据知识产权登记、知识产权证书申请、原创作品登记确权、维权服务申请、维权证据出具、知识产权转让等场景。通过登记、确权、维权、交易等多维度为创作者的知识产权提供保护。

关键词

区块链、知识产权、数据存证、知识产权存证、知识产权研究与服务中心、数据知识产权登记、浙江省数据知识产权登记平台