本研究設計了一套系統，可以利用文本情感分析了解學生在討論室及討論區的發

本研究設計了一套系統，可以利用文本情感分析了解學生在討論室及討論區的發言狀況，探討其內容與課程相關度為何，並且利用情感分析為討論室的討論內容計算情感分數，進而探討其情感正負向與發言和課程相關度高低是否有相關。而經過實驗發現，在此系統分析過後，教學者可以透過系統分析後的數據，快速瀏覽學生的發言狀況及內容，透過分析，教學者不用再一一瀏覽每位學生在討論區的每一句留言﹑可以從系統分析結果較為特殊的週次作個別檢視即可。而根據實驗三的研究結果顯示，討論室的發言內容情感分數和課程相關度是正向相關的

結果 (英文) 1:

This study was designed a system that can analyze the situation to understand the students to speak in seminar rooms and forums, and to explore its content and curriculum relevance why, and the use of sentiment analysis to calculate a score of emotional discussion room discussion of the use of text sentiment, then discusses its positive and negative emotions related to whether the level of the presentations and curriculum relevance.
It was found that after a while, after this systematic analysis, teaching can quickly view the status and content of student speech through data analysis system, through analysis, teaching those who do not have to constantly navigate each student per a message in the discussion area ﹑ system analysis results from the more special week for individual views can be.
According to the results of the third experiment showed that the content of speech emotion scores and degree courses related discussion room is positive related

結果 (英文) 2:

This study designed a system that can use text emotion analysis to understand the speech status of students in the discussion room and discussion area, to explore the relevance of their content and curriculum, and to use emotion analysis to calculate emotional scores for the discussion content of the discussion room, and then to explore whether their emotional positive and negative direction is related to the relevance of speech and curriculum.
After experiments, it is found that after this system analysis, the teaching person can quickly browse the student's speech status and content through the system analysis, through the analysis, the teacher does not have to browse each student in the discussion area of each message, can be from the system analysis results of a more special weekly individual review can be.
According to the results of the study of Experiment III, the emotional score and course relevance of the speech in the discussion room are positively related.

結果 (英文) 3:

This research designs a system, which can use the text emotion analysis to understand the students' speech situation in the discussion room and the discussion area, to explore the relevance between the content and the course, and use the emotion analysis to calculate the emotion score for the discussion content of the discussion room, and then to explore whether the positive and negative aspects of the emotion are related to the speech and the course relevance.
Through the experiment, it is found that after the system analysis, the teacher can quickly browse the students' speech status and content through the data after the system analysis. Through the analysis, the teacher does not need to browse every student's message in the discussion area once again, and can make individual inspection from the week with special system analysis results.
According to the results of Experiment 3, the emotional scores of the speech content and the curriculum relevance are positively correlated