Clustering Arabic Tweets for Sentiment Analysis

The focus of this study is to evaluate the impact of linguistic preprocessing and similarity functions for clustering Arabic Twitter tweets. The experiments apply an optimized version of the standard K-Means algorithm to assign tweets into positive and negative categories. The results show that root-based stemming has a significant advantage over light stemming in all settings. The Averaged Kullback-Leibler Divergence similarity function clearly outperforms the Cosine, Pearson Correlation, Jaccard Coefficient and Euclidean functions. The combination of the Averaged Kullback-Leibler Divergence and root-based stemming achieved the highest purity of 0.764 while the second-best purity was 0.719. These results are of importance as it is contrary to normal-sized documents where, in many information retrieval applications, light stemming performs better than root-based stemming and the Cosine function is commonly used

Clustering Arabic Tweets for Sentiment Analysis

The focus of this study is to evaluate the impact of linguistic preprocessing and similarity functions for clustering Arabic Twitter tweets. The experiments apply an optimized version of the standard K-Means algorithm to assign tweets into positive and negative categories. The results show that root-based stemming has a significant advantage over light stemming in all settings. The Averaged Kullback-Leibler Divergence similarity function clearly outperforms the Cosine, Pearson Correlation, Jaccard Coefficient and Euclidean functions. The combination of the Averaged Kullback-Leibler Divergence and root-based stemming achieved the highest purity of 0.764 while the second-best purity was 0.719. These results are of importance as it is contrary to normal-sized documents where, in many information retrieval applications, light stemming performs better than root-based stemming and the Cosine function is commonly used

Assisted Living: Domestic Power Monitoring utilising Home Automation Products and Cloud Storage

This paper describes the development of a system for taking measurements of electrical power consumption in a domestic situation and using a web service to store the measurements in a cloud hosted database. This is part of a larger project to evaluate the potential for using power monitoring as a proxy for wellness as part of the assisted living projects at Wintec

Off-the-shelf Non-Intrusive Load Monitoring Devices Utilised in a Low Activity Detection Service

There is a growing awareness for the need to provide low cost solutions for the care of the elderly and in particular to allow them to keep living independent lives. In parallel to this there has also been significant advances in a number of technical areas including 1) monitoring electricity consumption for the purpose of reducing power costs, 2) non-intrusive load monitoring (NILM), 3) using sensors to determine activities of daily living and 4) cloud computing. The purpose of this work was to demonstrate that it is possible to use a readily available consumer off the shelf electricity monitor to provide a low intrusive activity monitor for older persons. This work uses the Design Science Research Methodology and builds on the results of our previous work that used raw electricity usage data. In this work we are trailing the use of a meter that uses NILM to identify individual appliances in the home. The information on appliance use was analysed by a cloud base program and alerts were sent to the carer when lower than expected activity was detected. Participants both in this work and those reported in the literature have mentioned the annoyance of having multiple sensors in a home, especially if they emit either constant or flashing light. In contrast NILM allows the use of multiple electrical appliances to be monitored without the need for a large number of sensors to be deployed – just one sensor at the meter or fuse board. The confluence of a number of technologies has enabled the creation of a low intrusive and low cost monitoring system to have become a reality. The initial trial of the system has been shown to be a mostly reliable alternative to a system built on multiple sensors. Based on previous work that involved the deployment of multiple sensors, the new system is expected to be more acceptable as it has the desired attribute of becoming invisible to the user

A minimally intrusive monitoring system that utilizes electricity consumption as a proxy for wellbeing

The purpose of this work was to test the hypothesis: `Off-the-shelf domestic electricity meters can be utilised to assist in monitoring the wellbeing of elderly people` Many studies have shown that it is, in theory, possible to use domestic electricity consumption to determine `activities of daily living` but the availability of systems for actual use is very limited. This work followed the Design Science Research Methodology to create a Java application running on the Google App Engine cloud service that interfaced with both electricity meters and voice and text services. The system was implemented and tested over a three month period with one older person and their carer. Results demonstrated that the technology readily succeeds in meeting the study`s initial objectives. The need for more sophisticated decision logic was apparent and a method to determine whether a home is currently occupied is likely to improve the ability to create more timely alerts

Low-cost rapid authoring tool for Moodle quizzes

ABSTRACT This paper describes the motivation and development of a desktop application developed by the authors called Question Machine (QM). It rapidly creates electronic quizzes that can be imported into Moodle. It is being evaluated by students doing a userinterface design course

Low-cost rapid authoring tool for Moodle quizzes

This paper describes the motivation and development of a desktop application developed by the authors called Question Machine (QM). It rapidly creates electronic quizzes that can be imported into Moodle. It is being evaluated by students doing a user-interface design course

Industry practitioners' perceptions of embedded CCNA: A comparative study

This paper studies workplace perceptions of the Cisco Certified Network Associate (CCNA) courses by people who studied CCNA. It also presents different views on whether industry certifications, academic qualifications and work experience are complementary. The paper analyses data from the Waikato Institute of Technology (Wintec) and the Southern Institute of Technology (SIT) as a case study of how well the courses meet the needs of the Information and Communications Technology (ICT) industry in Hamilton and Invercargill. Conclusions are drawn about the effectiveness of embedding CCNA in these regions and course topics found to be most useful in the workplace are compared and highlighted. It is found that CCNA course topics are being used to varying extents in the ICT industry in both regions and these results are examined along with the perceived value of the courses for participants, new employees and employers. The research also reveals possible reasons for people who complete the four CCNA modules but do not sit the external exam to obtain the CCNA qualification

Network virtualization: A survey of the Wintec EPG

Internal network (platform) virtualization is the creation of a virtual machine (VM) that appears to be another physical computer with an operating system. Multiple VMs can run on the same physical host. This reduces costs for an organisation that desires extended network functionality (Barkham et al., 2003). Virtualisation, as a topic, is already integrated into a general Wintec School of IT degree networking paper. EPG ICT industry members have been surveyed to de-termine the current extent of virtualization implementa-tion in their organisations. This poster focuses on an analysis of their responses and the options available, based on these results

Linux networking in NZ industry and ITP education

This paper has a focus on the networking services that can be (and in some cases are being) taught using the Linux operating system. It first collates information from the literature regarding global industry trends of different server operating systems over the past few years, allowing the reader to see the position of the Linux server operating system in this market. The second part investigates the demand for Linux knowledge and skills in comparison to other technologies sought after in networking or telecommunication jobs by a quantitative analysis of networking job advertisements in New Zealand. Linux networking services are currently taught to varying degrees by New Zealand ITPs. In the last part of the paper the extent to which particular Linux networking services are taught is broken down into the subject areas they are taught in across different ITPs