Symposia & Conferences
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Item Factors Associated with Social Media on Consumer Adoption in Tourism (With Special reference to Kandy).(International Conference on Applied Social Statistics (ICASS) - 2019, Department of Social Statistics, Faculty of Social Sciences, University of Kelaniya, Sri Lanka, 2019) Liyanage, L.N.With the development of computer and Internet technology, social media have been widely used. During the last decade, an explosion of user-driven web technologies: blogs, social networks and media sharing platforms have been occurred. In the modern world, Social media play an important role in the consumer’s decision-making procedure. The growth of social media has led to new methods of pursuing and gaining information about various products and services in the market. It has facilitated consumers to associate and discuss different service or product providers easily (Chung and Koo, 2015). As tourism is an information-intensive industry it is necessary to understand the fluctuations or the deviations in the technologies that influence on the distribution and approachability of information regarding the travel (Xiang and Gretzel, 2010). Sri Lanka, as one of the countries with high usage of social media, has more than 6.2 million active social media users while in the world its more than 3.48 billion users. Among the most popular social media sites, Facebook gets the first place with 6 million active users, while Instagram has 1.1 million active users and Twitter has 182.5 thousand users for the last year (Hootsuite, 2019). One of the main advantage of social media is that it acts as as an effective communication media in the tourism industry were found by the authors in the literature (Desai and Eric, 2015; Verma, Stock and Mc Carthy (2012): Schu‑ ckert et al, 2015). Through these data it is cleared that social media sites are very popular in the country and it can be used as an effective tool for marketing in the field of tourism, in order to reach very large part of population. On the other hand, Sri Lanka is one of the greatest tourist destinations. The existing literature about social media generally emphases on the features of social media. However, researches about the factors associated with social media on adoption intention in of tourism sector is rare. Therefore, this study aimed to explore the factors related to social media that effect adoption intention in tourism.Item Automatic Extractive Twitter Hashtag Summarization(Department of Library and Information Science, Faculty of Social Sciences, University of Kelaniya, Sri Lanka, 2016) Hengodage, M.A.; Samankula, W.G.D.M.During past years, social media content has been widely used for many purposes, fields. Large amounts of content are generated in these social media websites such as Facebook, Twitter, and LinkedIn in every day. Twitter has large sets of data which is limited to 140 words, unlike any other social media platforms. Twitter allows a huge number of users to contribute frequent short messages. The content is an extraordinarily large number of small textual messages that are posted by millions of users. Twitter has topics system which enables the user to check about public opinion using with particular hashtags. Twitter websites’ content was focused in this research. This trending topic changes daily, even it changes based on locations. Each country has a different set of trends. But the major problem is for recognizing these hashtags for the users who are not very active on twitter websites. Some hashtags self-explain themselves with the words being used but not all of them. This project gives the ability to summarize idea about particular hashtag. A hashtag summarizer was implemented in order to address this problem. Creating hashtag summarizer may give the foundation to address previously mentioned issues about hashtags. This implemented system has some additional features other than hashtag summarization, for an instance user may use it to quickly check updates about some live event going on with its hashtag keyword. This solution provide some options to fine tune the results of summarization. In the summarisation process, all the related posts for given hashtag are considered. Then emoji’s and non-ascii characters are removed from the imported text data. The data is sent to the summarizer after cleaning up the characters. Then summarizer associates the words with their grammartical counterpart. Considering the frequency, each word is ranked with points system. Furthermore, by end of the sentences taking into the account, summariser splits the text into sentences. At the end of the process, sentences are ranked by sum of their words’ points. Then, it returns the highly ranked sentences.