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作 者:王雨婷 WANG Yuting
机构地区:[1]吉林大学
出 处:《吉林省教育学院学报》2022年第9期178-182,共5页Journal of Jilin Provincial Institute of Education
摘 要:短视频近几年的迅速发展使其对地域形象的影响日益增强。本研究以Python数据挖掘为研究工具,并基于词频分析法和NLP情感分析两种研究方法,对B站美食区以东北为创作对象的美食探店类短视频中播放量前8的视频评论内容进行收集与分析,从文本特征的角度分析用户对东北美食短视频的关注重点和态度取向。本文发现用户评论的讨论重点集中在美食的同时,也对东北的风土人情进行拓展联想与关注,对东北自身及其美食也能够做出较为积极正面的评价。The rapid development of short videos in recent years has led to their increasing influence on regional images. This study uses Python data mining as a research tool and two research methods: word frequency analysis and NLP sentiment analysis, to collect and analyse the top 8 video comments on short videos created in the food section of the website Bilibili with Northeast China as the target, and to analyse the focus and attitude of users towards northeast food short videos from the perspective of text features.This study finds that users’ comments focus on the food, but also expand their associations and concerns about the customs and people of Northeast China, and make more positive comments about Northeast China and its food.
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