Browsing by Author "Chathumali, E.J.A.P.C."

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    Detecting human emotions on Facebook comments
    (Department of Industrial Management, Faculty of Science, University of Kelaniya, Sri Lanka, 2020) Chathumali, E.J.A.P.C.; Thelijjagoda, Samantha
    Human emotion detection plays a vital role in interpersonal relationships. From the early eras, automatic recognition of emotions has been an active research topic. Today, sharing emotions on social media is one of the most popular activities among internet users. However, when it comes to a specific domain like emotion detection in social media, it is still on a research-level. There are less number of applications have been developed to detect emotions online, using online comments and user comments. The aim of this research is to develop a system that identifies human emotions on Facebook comments. Among the different social media platforms, this research specifically focuses on Facebook comments written in the English language to narrow down the problem. The research is based on Semantic analysis, which comes under Natural Language Processing (NLP) and the system development consists of four major steps, including the extraction of Facebook comments via Graph API, preprocessing, classification and emotion detection. To classify the emotions, a classification model was created by using Naïve Bayes Algorithm. When it comes to marketing, emotions are what lead your onlookers to purchase. By using the detected emotions, marketers can promote their campaigns by changing online advertisements dynamically. The results obtained through testing the system show that it is capable of accurately identifying human emotions hidden in Facebook comments with an accuracy level of 80%, making it highly useful for marketing purposes.
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    Green Cloud Computing: A Review on Adoption of Green-Computing attributes and Vendor Specific Implementations
    (IEEE International Research Conference on Smart computing & Systems Engineering (SCSE) 2019, Department of Industrial Management, Faculty of Science, University of Kelaniya, Sri Lanka, 2019) Jayalath, J.M.T.I.; Chathumali, E.J.A.P.C.; Kothalawala, K. R .M.; Kuruwitaarachchi, N.
    With cloud computing emerging as a trending topic, it has been a major point of discussion for the last few years. In regards to technological advancements, the associated shortcomings like environmental footprint caused by them also become an affair of high significance. Cloud computing itself is a much greener alternative to individual data centers with lesser number of servers being used and cloud data centers being far more efficient than those of traditional thereby reducing the carbon impact. Nonetheless, it cannot be neglected the fact that the data centers utilized by the cloud vendors are still a major source of carbon emissions due to the dirty energy usage. Therefore, the discussion of the paper is based on how green the foremost cloud providers are and the implementations of green IT attributes in the cloud infrastructure