Computing in Kent

    Investigating the nature of the conference SocmedHE21 using sentiment analysis   Zara Sanni  Nuffield Placement Researcher     Introduction SocMedHE started in 2015 with the goal of using social media to open up more higher education learning spaces online. SocMedHE, standing for Social Media for Learning in Higher Education, is an online workshop focused on developing a social media workshop. For this investigation I am using twitter data from SocMedHE21 to investigate the nature of the conference, based in part on sentiment analysis. Sentiment analysis is also known as opinion mining, it’s a natural language processing technique used to determine whether data is positive, negative, or neutral. It’s an artificial intelligence which uses certain algorithms to categorise what a person may think about a certain topic. I will be using it on the SocMedHE21 data to see whether the conference on a whole was seen as positive or negative. ...

  Zhou, Bing, Lu, Bei and Saeidlou, Salman 2022. A hybrid clustering method based on the several diverse basic clustering and meta-clustering aggregation technique.  Cybernetics and Systems.  53 (7), pp. 1-27. https://doi.org/10.1080/01969722.2022.2110682 A hybrid clustering method based on the several diverse basic clustering and meta-clustering aggregation technique Abstract In hybrid clustering, several basic clustering is first generated and then for the clustering aggregation, a function is used in order to create a final clustering that is similar to all the basic clustering as much as possible. The input of this function is all basic clustering and its output is a clustering called clustering agreement. However, this claim is correct if some conditions are met. This study has provided a hybrid clustering method. This study has used the basic k-means clustering method as a basic cluster. Also, this study has increased the diversity of consensus by adopting some me...

Recently published paper  S. Hepenstal, L. Zhang and B. L. William Wong, "An analysis of expertise in intelligence analysis to support the design of Human-Centered Artificial Intelligence," 2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2021, pp. 107-112, doi: 10.1109/SMC52423.2021.9659095. ttps://doi.org/10.1109/SMC52423.2021.9659095 Abstract Intelligence analysis involves unpredictable processes and decision making about complex domains where analysts rely upon expertise. Artificial Intelligence (AI) systems could support analysts as they perform analysis tasks, to enhance their expertise. However, systems must also be cognisant about how expertise is gained and designed so that this is not impinged. In this paper, we describe the results of Cognitive Task Analysis interviews with 6 experienced intelligence analysts. We capture themes, in terms of their decision making paths during an analysis task, and highlight how each theme is both influenced...