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干货足否:知识直播产品特征提取与问题挖掘 被引量:5

Are Valuable Contents Enough?Product Feature Extraction and Problem Mining of Knowledge Live Broadcasting
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摘要 [目的/意义]知识直播平台的出现为用户提供了知识获取、知识交流以及知识变现的全新渠道,研究知识直播产品特征提取与问题挖掘有助于提升知识直播产品质量,促进知识直播平台持续良好发展。[研究设计/方法]以知乎Live为研究对象,提取热门分区9,108条用户评论中的产品特征高频词,构建知识直播产品特征体系;并利用细粒度观点抽取方法抽取具有消极情感的用户评论观点以揭示知识直播产品存在的问题。[结论/发现]知乎Live讲座产品特征体系可归纳为主讲人、课程、用户三大维度,其中用户最为关注内容质量、内容形式等课程维度相关特征;知识直播产品主要存在干货不足、主讲人答疑不够认真、时间安排不合理等问题,对此平台应协同主讲人以问题为导向针对性地改善服务质量。[创新/价值]聚焦于新型知识传播渠道,为知识直播平台改进知识服务、提高用户满意度提供参考建议。 [Purpose/Significance]The advent of live knowledge broadcasting platforms has brought users a new approach of knowledge acquisition,communication and monetization.Research on product feature extraction and problem mining for knowledge broadcasting is helpful to improve the quality of knowledge broadcasting products and promote a benign development of knowledge broadcasting platforms.[Design/Methodology]Taking Zhihu Live as the research object,this paper extracted the high-frequency words of product features from 9,108 users’comments so as to build a feature system of knowledge broadcasting products;with the use of fine-grained viewpoint extraction methods,viewpoints of negative sentiment were extracted in order to reveal the existing problems of knowledge live broadcasting products.[Findings/Conclusion]The product feature system of Zhihu Live lectures can be summarized into three dimensions,namely lecturers,courses and users.Among the three dimensions,users are most concerned with features related to the dimension of courses such as the quality and the form of contents.Currently,the main problems of knowledge live broadcasting products are inadequate real valuable contents in courses,unserious answering of questions,unreasonable time arrangement and so on.Consequently,platforms should collaborate with lecturers to improve service quality through problem-oriented methods.[Originality/Value]Focusing on new knowledge broadcasting approaches,this study provides a reference for improving knowledge service and users’satisfaction of knowledge broadcasting platforms.
作者 严炜炜 孙晓瑞 黄为 YAN Weiwei;SUN Xiaorui;HUANG Wei
出处 《图书情报知识》 CSSCI 北大核心 2021年第4期4-14,共11页 Documentation,Information & Knowledge
基金 国家自然科学基金青年项目“群体差异视角下学术社交网络用户交互与合作机制研究”(71904148)研究成果之一。
关键词 知识直播平台 用户评论 特征提取 观点挖掘 知乎Live Knowledge live broadcasting platform User comment Feature extraction Opinion extraction Zhihu Live
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