Analysis of the survey of the centralized exam Textbook in the University Applied Sciences & technology with a text-analysis approach

In recent years, educational data mining has been very popular in the field of higher education due to the large amount of data and the difficulty of analyzing the results. Summarizing teachers' opinions about textbooks is also one of the main challenges in deciding whether or not to reprint books. This study intends to evaluate the professional ethics textbook written for centralized exam students by using a semi-automatic text extraction method. In this article, the results of the completed questionnaire of the professional ethics Textbook have been analyzed by 47 instructors of this course, regarding the descriptive question about printing / non-reprinting using text mining technique.This research has been used using "Farsiyar" text mining software and Python coding, as well as methods of extracting text keywords, automatic text summarization, thematic modeling (identifying collection of texts) and finally drawing meta-words to analyze the submitted comments.Findings indicate that the topic modeling method used to identify the topics of the text collection and the method of drawing meta-words that provided a visual form of textual comments were more appropriate than other methods in this study. Reprinting is recommended by rewriting and re-editing this book.