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Browsing by Author "Herath, N"

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    PublicationOpen Access
    Hashtag Generator and Content Authenticator
    (researchgate.net, 2018-01) Yapa Abeywardena, K; Ginige, A. R; Herath, N; Somarathne, H; Thennakoon, T. M. N. S
    In the recent past, Online Marketing applications have been a focus of research. But still there are enormous challenges on the accuracy and authenticity of the content posted through social media. And if the social media business platforms are considered, majority of the users who try to add a market value to their own product face the problem of not getting enough attention from their target audience. The purpose of this research is to develop a safe and efficient trending hashtag generating application solution for social media business users which generates trending and relevant hashtags for user content in order to get a broad reach of target audience, automatically generates a meaningful caption to their relevant posts and guarantees the authenticity of the product at the same time. The user content is analyzed and filters the important keywords, generates a meaningful caption, suggest related trending keywords and generates trending hashtags to get the required reach for online marketers. Additionally, the marketing products’ content authentication is ensured. The application uses Natural Language Processing, Machine Learning, API technologies, Java and Python technologies. A unique database is assigned to users which contains rankings for each user. The target audience who engages in buying products get to know about the status of the sellers with respect to authenticity of the content. It is believed that the application provides a promising solution to existing audience reach problems of online marketers and buyers. The significance of this system is to help marketers and buyers to engage in online buying and selling with much effective, reliable and safer ways. This mitigate the vulnerability of bad social media marketing influences and helps to establish a safe and reliable online marketing practice to make both sellers and buyers happy. This paper provides a brief description on how to perform an organized online marketing discipline via the Trending Hashtag Generator & Image Authenticator application.
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    PublicationEmbargo
    The Most Productive Morphological Processes in Selected Sri Lankan English Literary Texts
    (Faculty of Humanities and Sciences,SLIIT, 2021-09-25) Dilhara, S; Herath, N; Kavindi, R
    Morphological processes in a variety of English is a core area as it constitutes the process of word- formation. It contributes to the enrichment of the lexis of that particular variety. Sri Lankan English morphology is influenced by its native language i.e. Sinhala. The productivity of morphological processes is determined by the abundant usage of a process. Thus, this study was initiated with the aim of exploring the productive morphological processes in Sri Lankan English. A qualitative method was used for collecting data from thirty literary works: novels and short stories, of Sri Lankan writers. Each piece of writing was carefully analyzed. Sri Lankan English morphological terms were gathered and categorized under different morphological processes. The findings revealed that the productive morphological processes in Sri Lankan English literary texts were borrowings, affixation, and compounding.

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