## 4 Results  
This section presents the results of this work and the novel findings from this study. As stated in Section 3, the number of Tweets about exoskeletons per month between 2017 and 2023 was calculated. Figures 3-9 represent the same. It is worth noting that the histograms presented in Figures 3 and 9 do not represent all the Tweets that were posted in the month of May during those respective years. This is because the dataset contains Tweets starting from 21 May 2017, and for May 2023, the dataset contains Tweets up to 13 May 2023. As can be seen from Figures 3-9, the tweeting patterns about exoskeletons between May 2017 and May 2023 were diverse, and the general public posted a considerable number of Tweets about exoskeletons in almost all the months between May 2017 and May 2023. However, certain months stand out in some of these figures to represent a significantly higher volume of Tweets posted during that time. For instance, in 2019, the most number of Tweets about exoskeletons were posted in October, and the same pattern was again observed in 2022. In 2022, the least number of Tweets were posted in September. However, in none of the prior years (2017 to 2021), September was the month when the least number of Tweets were posted. Similarly, other insights about the tweeting behavior about exoskeletons can be observed in Figures 3-9. As the number of Tweets posted about a topic represents the degree of public interest towards that topic [136], these results serve as a framework for indicating the specific and varied levels of public interest towards exoskeletons from May 2017 to May 2023. Figure 3: A histogram-based representation of the number of Tweets about exoskeletons per month in 2017. Figure 4: A histogram-based representation of the number of Tweets about exoskeletons per month in 2018. Figure 5: A histogram-based representation of the number of Tweets about exoskeletons per month in 2019. Figure 6: A histogram-based representation of the number of Tweets about exoskeletons per month in 2020. Figure 8: A histogram-based representation of the number of Tweets about exoskeletons per month in 2022. Figure 7: A histogram-based representation of the number of Tweets about exoskeletons per month in 2021. Figure 9: A histogram-based representation of the number of Tweets about exoskeletons per month in 2023. In Figure 10, the analysis of the output from Algorithm A1 is presented. Specifically, a histogram-based approach was used to determine the specific timeslots of 1-h duration during different times of the day (24-h format) when the most and least number of Tweets about exoskeletons were posted. In addition to this, the varying trends of posting Tweets in other timeslots are also presented in Figure 10. As can be seen from Figure 10, the timeslots of 17 (representing the time window 16:01 to 17:00 in a 24-h format) and 16 (representing the time window 15:01 to 16:00 in a 24-h format) represent time windows when the highest number of Tweets about exoskeletons have been posted. Furthermore, this figure also shows that the timeslot of 6 (representing the time window from 5:01 to 6:00 in a 24-h format) represents the time window when the least number of Tweets about exoskeletons have been posted. It is worth noting that these timeslots were prepared based on the dataset that contains the timestamps in Eastern Standard Time (EST). The outputs from Algorithm A2 are presented in Figures 11 and 12, respectively. These two figures show the mean character count of the Tweets posted per hour (in a 24-h format) and the median character count of the Tweets posted per hour (in a 24-h format), respectively. The results shown in Figures 11 and 12 also help to reveal patterns of public discourse about exoskeletons during different time instants of the day. For instance, from Figure 11, it can be concluded that the time slot of 1 (representing the time window 00:01 to 01:00 in a 24-h format) is the time range when the general public has posted the shortest Tweets about exoskeletons.