酒类拼多多直播带货违法监测预警数据
收藏浙江省数据知识产权登记平台2024-07-18 更新2024-07-19 收录
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资源简介:
对采集的拼多多平台带货品类为酒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:不宿醉,喝不醉,不上头,醒酒快,温肾,除积冷,消除紧张、消除焦虑,增加体力,改善疲劳感,再喝一杯,千杯不醉等)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拼多多直播行为,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 influencer live stream video content for alcoholic beverage products collected from the Pinduoduo platform. The spoken content of the influencers will be processed and analyzed, and warnings or corresponding measures will be issued in accordance with preset trigger rules based on the frequency and times of violations of pre-set sensitive violation keywords (such as: "no hangover", "cannot get drunk", "no head rush", "fast sobering", "warm the kidneys", "eliminate accumulated cold", "relieve stress", "alleviate anxiety", "boost physical strength", "relieve fatigue", "have another drink", "never get drunk no matter how much one drinks", etc.). This dataset provides data support for standardizing the live streaming behaviors of enterprises within the jurisdiction of the Zhuji City Market Supervision Administration on the Pinduoduo platform.
The collected live stream videos undergo the following preprocessing steps:
1. Slice the original video files into segments with a maximum duration of 10 minutes.
2. Convert the sliced video content into audio files (video-to-speech conversion).
3. Perform speech-to-text (STT) transcription on the audio files obtained from the previous step.
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, a multi-criteria decision analysis (MCDA) model is applied to analyze and calculate the violating statements uttered by the streamer during the live stream, so as to derive the violation warning score and make a warning determination.
The violation warning score is calculated via 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)
No warning prompt will be triggered when the final calculated violation warning score ≤ 1, while a violation warning prompt will be triggered when the score > 1.
提供机构:
诸暨市市场监督管理局,浙江富润数链科技有限公司
创建时间:
2024-06-26
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功能,旨在从登记、确权、维权、交易等多个维度为创作者的知识产权提供全方位保护。
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
搜集汇总
数据集介绍

以上内容由遇见数据集搜集并总结生成



