Empirical Study of Features and Unsupervised Sentiment Analysis Techniques for Depression Detection in Social Media (Published)
This study provides an empirical evaluation of diverse traditional learning, deep learning, and unsupervised techniques based on diverse sets of features for the problem of depression detection among Twitter and Reddit users. The main objective of this study is to investigate the most appropriate features, document representations, and text classifiers for the significant problem of depression detection on social media microblogs, such as tweets, as well as macroblogs, such as posts on Reddit. The study’s investigation will concentrate on the linguistic characteristics, blogging behavior, and topics for features, multi-word, and word embeddings for document representation as well as on unsupervised learning for text clustering. This study will select the best approaches in the literature as baselines to practically examine them on the depressive and non-depressive dataset of blogs designed for this work. The study’s integrations and ensembles of the selected baselines will be experimented as well to recommend a design for an effective social media blog classifier based on unsupervised learning and WE document representation. The study concluded that the experiments proved that a stacking ensemble of Adam Deep Learning with SOM clustering followed by Agglomerative Hierarchical clustering with topic features and pre-trained word2vec embeddings achieved an accuracy more than 92% on Twitter and Reddit depression analysis datasets.
Implementation of Labour Act in Ghanaian Public Industries – An Empirical Study of the Ghana Water Company Limited (Published)
The purpose this study is to investigate the implementation of the Labour Act, 2003 (Act 651) from the context of Ghana Water Company Limited (GWCL). A total of 10 management staff and 206 senior and junior staff of Ghana Water Company Limited (GWCL), constituting 216 were sampled for the study. Out of the 206 questionnaires administered, 149 responded in addition to 5 management staff who were interviewed, giving the total of 154 respondents for the study. Statistically, less than half of the respondents, 74 (48%), admitted that there were a number of challenges in the implementation of the Labour Act while 80 (52%) expressed otherwise. The study established that the implementation of the Labour Act, 2003 (Act 651) at the Ghana Water Company Limited is not up to expectation. It is recommended that a study in the private sector will contribute to a more in-depth understanding of the research topic.
This paper suggests an improved ratio estimator in stratified random sampling. Analytically, the bias and mean square error (MSE) expressions for the proposed estimator are obtained. Efficiency comparisons are made to evaluate the relative performance of the proposed estimator. In addition, an empirical study is provided to support the analytical study. Analytical and numerical results showed that the proposed estimator is more efficient than the estimator under study.