Forum Summarization service Sample Clauses

Forum Summarization service. Forum Summarization Service (FSS) combines techniques from data mining and distributed systems to provide effective support for users to quickly make sense of the huge and dynamic pool of information emerging from Internet Forums (Ammari, Lau, & Xxxxxxxxx, 2012). For evaluation purpose, a web-based interface is implemented to show the output of FSS. As FSS is still in its early stage of design especially in its user interface, we believe a formative evaluation (Bhola, 1990) would be appropriate and valuable because with more qualitatively rich data, we can build a more emergent, structured picture of what is happening with this design in a rich interactive context, and to indicate what might be done for improvement. To simulate Dicode use cases, we select two forums from xxxxxxxxxxxxx.xxx, a fast-growing forum family web site which has over 1.5 million users on diverse topics from programming to cooking. The two selected forums are: Web application forums - to simulate Use Case 3: data analysts in consultant company; Statistical analysis forum - to simulate Use Case 1 researchers using statistics in their work. Time spent on each task During the study, we asked the participants to record the time they spent on each slide (task), the data can be used to find out if participants have spent more time on one task than the other. As there are not enough observations to confidently test whether the differences between tasks are normally distributed, we analysed the data using a signed-rank test on two groups of pairs on one-sided hypothesis: task 1 < task 3 and task 2 < task 3. For those two groups of pairs, there are two nominal variables: task and participant, and one measurement variable (time of completion). The results show that the participants for Web Application forum has spent significantly more time on task 3 than task 1 (p=0.014) or Task 2 (p=0.002). Wilcoxon Signed-ranked test Task 1 < Task 3 Task 2 < Task 3 Web Application p=0.014 p=0.002 Statistical Analysis p=0.070 p=0.052
Sample 1
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