Many universities have adopted collaborative learning approaches such as Project-Based Learning (PBL), where students work in teams. However, in collaborative learning, problems such as not developing appropriate conclusions within the time constraint or the conclusions deviating from the central theme occur. Based on recognizing these issues, we have developed a system that visualizes and analyses learners' discussions in collaborative learning in real-time and feeds back the results to the learners to encourage them to reflect on the results, leading to active and appropriate discussions. The system analyzes the number of words said by each learner per unit of time and the rate of frequent words in collaborative learning and displays this information on the learner's browser in real-time. We can use the system for ideas and meeting management by displaying the co-occurrence network diagram of frequent words and trends of words in a meeting. We have applied this system to collaborative learning in teams and evaluated its effectiveness and impact on team discussions. In the experiment for PBL II course students, the results showed that the scores of the four data representations were more than three, and 73.7% of students evaluate the system as helpful to the discussion.