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    From „Facebook‟ to „Bukiya‟: Language Change in Facebook among Undergraduates of the University of Vocational Technology.
    (The Third International Conference on Linguistics in Sri Lanka, ICLSL 2017. Department of Linguistics, University of Kelaniya, Sri Lanka., 2017) Karunarathna, J. A. M. B.; Jayashan, M. N. L. C. L.; Wijayasen, W. A. S. R.; Papith, V.; Shakthibaala, S.; Dharmadasa, A.S.U.; Nizreen, Z.
    Language transmits cultural values, norms and beliefs. Media has always influenced the constant change of language. Especially with the rapid change of technology, from internet to smartphones, it has changed the way people communicate. It is said that human communication has become easier and quicker through social networking sites such as Facebook, Twitter, etc. As long as human communication has become quicker through social networking, language has also changed rapidly. It has contributed to English language by adding words and phrases such as „OMG‟, „LOL‟, unfriend, etc. among the users. The aim of the research is to investigate the changes occurred in the language being used in the social media among Sri Lankan users with particular focus on Facebook. Data is collected in snowball sampling technique from the undergraduates of University of Vocational Technology, through six voluntary research agents. They are active users of Facebook and collected data for four months. These voluntary research agents are undergraduates of University of Vocational Technology, Sri Lanka. In collecting data, morphological changes were focused in status updates and comments in Facebook, in Sinhala, Tamil and English among the undergraduates of University of Vocational Technology. Findings were thematically categorized and analyzed. Results shows interesting findings across languages, such as the variations of the same word in Sinhala „supiri‟, „patta‟, „pata pata‟ to „fatta‟ throughout the time, and a similar word for the same in status updates in Tamil „sattapadi‟. Further, according to findings, many morphological changes have occurred with blending and borrowing. However, comments made in English language show a comparative reduction to „likes‟ and emojis. Findings illustrate the necessity of further research in analysis of discourse across three languages in social media since the language change is rapid, complex and unprecedented.
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    Sentimental Analysis Based on Sinhala Language Social Media Updates
    (University of Kelaniya, 2015) Vasanthapriyan, S.
    The World Wide Web plays a critical role in collecting public opinion where these opinions play an important role in making business decisions. For factual and subjective information about companies and products, analysts are turning to the Internet to gather information. Extracting public opinion is the difficult task in a country like Sri Lanka, because most of the time the language spoken is, Sinhala or Tamil rather than English. Sentimental Analysis being a major research topic in computational linguistic community is quite popular and has led building of better products, understanding user’s opinion, executing and managing of business decisions. However most of the researches never focused on South Asian languages like Sinhala, often used in Social media websites such as Face book, Twitter and etc. Motivated by Sentimental Analysis researches based on Hindi, another south Asian language, we proposed and developed a system that analyzes social media updates in Sinhala language for the sentiments. Starting with three basic sentiments; Positive, Negative and Neutral we retrieve a set of live updates based on Face book and Twitter. This data set is then deployed in to a cloud service and analyzed and give the proper output. Sinhala is a free order language compared to English which adds complexity while handling user generated content. Our finding focuses on how to build a better platform on sentimental analysis to help bloggers to stop spam, business firms to get feedback, and government firms to get urgent service requests. We hope to do more investigation on implicit factors in Sinhala language and give them as features for the models we described in our work.