Construction of Users'Evaluation Model of Online English Learning Dictionary Based on Content Analysis
The evaluation research of dictionary is of great significance to the dictionary's compilation,but the previous studies rarely established evaluation models from the perspective of users.Taking users'evaluations of five online English learning dictionaries on the App Store as samples,using ROST Content Mining 6 to extract high-frequency words and perform social network semantic analysis from online dictionary users'positive and negative evaluation texts,this study has discovered users'potential needs and usage preferences.Combined with high-frequency vocabulary and social network semantic map,100 effective analysis units are selected,and after the analysis unit is coded and the classification test performed,a user evaluation model is initially established.Combined with the researches of dictionary users'needs,the evaluation model is improved.Finally,taking Youdao Dictionary as the object of investigation,the model is applied to the evaluation practice.The verification results show that the model has good reliability and validity.
content analysis methodonline English learning dictionaryusage preferenceusers'evaluation:evaluation model
万方数据
维普
