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Twitter is a micro-blogging platform where the users can be social, informational or both. In certain cases, users generate tweets that have no "hashtags" or "@mentions"; we call it an orphaned tweet. The user will be more interested to find more "context" of an orphaned tweet presumably to engage with

Twitter is a micro-blogging platform where the users can be social, informational or both. In certain cases, users generate tweets that have no "hashtags" or "@mentions"; we call it an orphaned tweet. The user will be more interested to find more "context" of an orphaned tweet presumably to engage with his/her friend on that topic. Finding context for an Orphaned tweet manually is challenging because of larger social graph of a user , the enormous volume of tweets generated per second, topic diversity, and limited information from tweet length of 140 characters. To help the user to get the context of an orphaned tweet, this thesis aims at building a hashtag recommendation system called TweetSense, to suggest hashtags as a context or metadata for the orphaned tweets. This in turn would increase user's social engagement and impact Twitter to maintain its monthly active online users in its social network. In contrast to other existing systems, this hashtag recommendation system recommends personalized hashtags by exploiting the social signals of users in Twitter. The novelty with this system is that it emphasizes on selecting the suitable candidate set of hashtags from the related tweets of user's social graph (timeline).The system then rank them based on the combination of features scores computed from their tweet and user related features. It is evaluated based on its ability to predict suitable hashtags for a random sample of tweets whose existing hashtags are deliberately removed for evaluation. I present a detailed internal empirical evaluation of TweetSense, as well as an external evaluation in comparison with current state of the art method.
ContributorsVijayakumar, Manikandan (Author) / Kambhampati, Subbarao (Thesis advisor) / Liu, Huan (Committee member) / Davulcu, Hasan (Committee member) / Arizona State University (Publisher)
Created2014
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Description
The use of blogging tools in the second language classroom has been investigated from a variety of theoretical and methodological perspectives (Alm, 2009; Armstrong & Retterer, 2008; Dippold, 2009; Ducate & Lomicka, 2008; Elola & Oskoz, 2008; Jauregi & Banados, 2008; Lee, 2009; Petersen, Divitini, & Chabert, 2008; Pinkman, 2005;

The use of blogging tools in the second language classroom has been investigated from a variety of theoretical and methodological perspectives (Alm, 2009; Armstrong & Retterer, 2008; Dippold, 2009; Ducate & Lomicka, 2008; Elola & Oskoz, 2008; Jauregi & Banados, 2008; Lee, 2009; Petersen, Divitini, & Chabert, 2008; Pinkman, 2005; Raith, 2009; Soares, 2008; Sun, 2009, 2012; Vurdien, 2011; Yang, 2009) and a growing number of studies examine the use of microblogging tools for language learning (Antenos-Conforti, 2009; Borau, Ullrich, Feng, & Shen, 2009; Lomicka & Lord, 2011; Perifanou, 2009). Grounded in Cultural Historical Activity Theory (Engestrom, 1987), the present study explores the outcomes of a semester-long project based on the Bridging Activities framework (Thorne & Reinhardt, 2008) and implemented in an intermediate hybrid Spanish-language course at a large public university in Arizona, in which students used microblogging and blogging tools to collect digital texts, analyze perspectives of the target culture, and participate as part of an online community of language learners with a broader audience of native speakers. The research questions are: (1) What technology is used by the students, with what frequency and for what purposes in both English and Spanish prior to beginning the project?, (2) What are students' values and attitudes toward using Twitter and Blogger as tools for learning Spanish and how do they change over time through their use in the project during the semester course?, and (3) What tensions emerge in the activity systems of the intermediate Spanish-language students throughout the process of using Twitter and Blogger for the project? What are the underlying reasons for the tensions? How are they resolved? The data was collected using pre-, post-, and periodic surveys, which included Likert and open-ended questions, as well as the participants' microblog and blog posts. The quantitative data was analyzed using descriptive statistics and the qualitative data was analyzed to identify emerging themes following the Constant Comparative Method (Glaser & Strauss, 1967). Finally, three participant outliers were selected as case studies for activity theoretical analysis in order to identify tensions and, through their resolution, evidence of expansive learning.
ContributorsAlvarado, Margaret (Author) / Lafford, Barbara (Thesis advisor) / González, Verónica (Committee member) / Cerron-Palomino, Alvaro (Committee member) / Arizona State University (Publisher)
Created2015