摘要
使用数据挖掘和文本分析处理方法,以主流网络购书平台的《汉语国际教育硕士系列教材:核心课教材》读者评分及评论文本为研究对象,利用python采集、清洗、分析并可视化数据,创建出评论关键词词云,计算出文本情感倾向值。结果显示该教材深受读者欢迎,读者评分和评论文本情感值得分均较高,同时评论文本分析显示该教材受到了行业的认可,教师推荐度较高。但教材也有内容较单薄,相较之前的类似教材无太多创新等不足之处。文章的创新和意义体现在基于大数据样本评估教材,试图寻找教材评估研究新方法,同时也为教材编写者和使用者提供建设性的意见。
Using data-mining and text analysis methods based on Python,this study aims to generate the word cloud of the key words in the relevant book reviews and to calculate the relevant sentimental value.The object of this study is the readers'grading score and comments on The Textbook Series of MTCSOL:Key Course Textbooks.The result shows that this series of textbooks is very popular with its users.It has received a fairly high grading score plus much sentimental value from the educational community,including users and teachers.However,there are also such weaknesses as inadequate content and poor creativity.This paper has some significance in terms of evaluating the textbooks based on the big data,providing new assessment methods,and offering some constructive suggestions to textbook writers and users.
作者
陈晓霞
CHEN Xiaxia(Research Center of Overseas Chinese and Chinese Teaching,Beijing Chinese Language and Culture College,Beijing 102206,China)
出处
《云南师范大学学报（对外汉语教学与研究版）》
2020年第6期15-23,共9页
Journal of Yunnan Normal University(Teaching & Studying Chinese as a Foreign Language Edition)
基金
北京华文学院2020年度一般项目“基于文本分析法的优秀华文教师素质构成的质性研究”(HW-20-B03)。
