珍珠类微信视频号直播带货违法监测预警数据

对采集的微信视频号平台带货品类为珍珠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：光滑细腻，天然眩光，孤品，s级，纯天然，925银防过敏，近珠光等）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微信视频号直播行为，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 transcription and analysis of live streaming video content from pearl-related product influencers on the WeChat Video Channel platform. The spoken content of these influencers is processed and analyzed, and warnings or corresponding treatments are issued based on the frequency and count of violations against pre-set sensitive violation keywords (such as smooth and delicate, natural glare, one-of-a-kind item, Grade S, 100% natural, 925 sterling silver for allergy prevention, near pearl luster, etc.). This work provides data support for the Market Supervision Administration of Zhuji City to standardize the live streaming behaviors of enterprises within its jurisdiction on the WeChat Video Channel.

First, preprocessing is performed on the collected live streaming videos:
1. Slice the original video files into chunks with a maximum duration of 10 minutes each.
2. Convert the sliced videos into audio files via video-to-speech technology.
3. Transcribe the audio files from the sliced videos into text via speech-to-text technology.
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 broadcast, to derive the violation warning score and determine whether to issue a warning.
The violation warning score is calculated using the following formula:
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)
Based on the calculated final violation warning score: no warning alert is triggered when the score ≤ 1, and a violation warning alert is 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、知识产权转让等多种场景。

主要功能

• 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

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

该数据集用于监测微信视频号平台上珍珠类直播带货的违法行为，通过分析直播内容中的关键词和组合关键词，结合OCR技术和多标准决策分析模型，计算违法预警值并判断是否触发预警。数据集规模为1561条，每季度更新一次，主要应用于规范企业微信视频号直播行为。