医疗器械类京东直播带货违法监测预警数据

对采集的京东平台带货品类为医疗器械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京东直播行为，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 stream video content from JD.com platform influencers promoting medical device products, as well as the processing and analysis of the influencers' spoken language content. Warnings or corresponding disposal measures will be implemented based on the frequency and count of violations of the pre-set sensitive violation keywords (including but not limited to: invalid refund, insurance coverage provided by insurance companies, safe, safe and non-toxic with no side effects, low toxic and side effects, natural, hot-selling, rush purchase, trial use, household essential, free treatment, etc.) by the influencers during the live stream, in accordance with the established trigger condition rules. This work provides data support for the Zhuji Municipal Market Supervision Administration to standardize the live stream behaviors of enterprises within its jurisdiction.

The collected live stream videos undergo the following preprocessing pipeline:
1. Slice the original video files into segments with a maximum duration of 10 minutes.
2. Convert the sliced videos into audio tracks.
3. Convert the audio content of the sliced videos into text transcripts via speech-to-text technology.
4. Extract text from images captured from the original videos using Optical Character Recognition (OCR) technology.
5. Match the collected text content (from both speech-to-text transcripts and OCR-extracted text) against the violation warning keyword database.

Subsequently, a Multi-Criteria Decision Analysis (MCDA) model is employed to analyze and compute the violation statements made by the streamers during the live stream, generating the final violation warning value and determining whether to trigger a warning alert.

The violation warning value is calculated using the following formula:
Violation Warning Value = (Number of single violation warning keyword hits * 0.25) + (Number of combined violation warning keyword hits * 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 30 days * 0.1)

The warning trigger rules are as follows:
- No warning prompt will be issued if the calculated violation warning value ≤ 1
- A violation warning prompt will be triggered if the calculated violation warning value > 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