药品类快手直播带货违法监测预警数据

对采集的快手平台带货品类为药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：无效退款，保险公司保险，安全，安全无毒副作用，毒副作用小，天然，热销，抢购，试用，家庭必备，免费治疗等）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快手直播行为，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 Kuaishou platform influencers who promote pharmaceutical products. The spoken content of the influencers will be processed and analyzed. Warnings or corresponding actions will be issued based on the number and frequency of violations of pre-set sensitive violation keywords (e.g., "invalid refund", "insurance underwritten by insurance companies", "safety", "non-toxic and side effect-free", "low side effects", "natural", "hot-selling", "rush purchase", "trial use", "household necessity", "free treatment", etc.) during the live streaming, in accordance with the trigger condition rules. This work provides data support for standardizing the live streaming behaviors of enterprises within the supervision jurisdiction of Zhuji Municipal Market Supervision Administration.

The collected live streaming videos undergo the following preprocessing steps:
1. Slice the original video files into segments with a maximum duration of 10 minutes each;
2. Convert the sliced video content into speech audio;
3. Transcribe the speech audio from the sliced videos into text;
4. Extract text from images captured from the original videos using OCR technology;
5. Match the obtained text content against the violation warning keyword database.

Finally, the multi-criteria decision analysis (MCDA) model is used to analyze and calculate the violating statements made by the streamer during the live streaming, so as to obtain the Violation Warning Score and the warning determination result.
The formula for calculating the Violation Warning Score is as follows:
Violation Warning Score = (Number of hits for single violation warning keywords * 0.25) + (Number of hits for combined violation warning keywords * 0.3) + (Number of combined warning keywords detected via image recognition * 0.35) + (Number of historical violation records of the live stream room in the past month * 0.1)

The final Violation Warning Score is calculated using the above formula. No warning prompt will be triggered when the score ≤ 1, and a violation warning prompt will be triggered when the score > 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。该平台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、知识产权转让等多种场景。通过区块链技术，从登记、确权、维权、交易等多维度为创作者的知识产权提供保障。

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

搜集汇总

数据集介绍

特点

该数据集用于监测快手平台上药品类直播带货中的违法行为，通过分析直播内容中的违规敏感词，提供违法预警支持。数据集规模为1950条，每季度更新，主要服务于市场监管部门。