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Social network sites nowadays serve as important medium of communication and dissemination of information to its users. It is crucial to know users' emotion and perception towards information evolved in social network sites. The motivations for creating tools to detect emotion is increasing due to these factors. Various research conducted recently, focusing on the classification of emotion, that is...
Word embedding, which is usually used in the literature especially for English, is a technique to associate each word to a mathematical vector representation under which some structural or semantic relations hold. There are some Turkish application of this technique. Despite being designed according to English, it is also satisfactory for Turkish. In this study, the performance of Turkish word embeddings...
Understanding the risks caused by relying on information systems is an enduring research stream in the Information Systems (IS) discipline. With information systems becoming ubiquitous, IS risks permeate every aspect of life and effective risk mitigation increasingly requires a holistic structure. We use the largest and oldest publicly available risk collection to understand the developments of IS...
With the recent explosive growth of Short text in the Internet and blog-sphere, Short text classification and analysis has been identified as a booming research topic in recent times. Short text classification is a challenge due to its sparse nature, noise words, syntactical structure and colloquial terminologies used. It is usually difficult for traditional similarity measures to detect intrinsic...
Community Question Answering (CQA) has become a popular and effective mean for seeking information on the Web. It is now possible and effective to post a question asked in natural language on a popular community Question Answering (QA) portal, and to rely on other users to provide answers. These online collaborative services are attracting users and questions at an explosive rate, while how to correctly...
Most of the traditional text classification methods employ Bag of Words (BOW) approaches relying on the words frequencies existing within the training corpus and the testing documents. Recently, studies have examined using external knowledge to enrich the text representation of documents. Some have focused on using WordNet which suffers from different limitations including the available number of...
Internet has become an excellent ecommerce platform for bringing together large numbers of buyers and sellers across wide geographic regions. Trust and reputation systems represent a. significant trend in decision support for Internet mediated service provision. However, most existing work assumes that all users have the same trust metrics, but in real life different users often have different preference...
Collaborative tagging is a popular method in social resource sharing system. The reason why collaborative tagging system becomes popular is users can freely tags on the resources, like Flickr1 and Delicious2. Any relationship between tags and resources are not made explicitly when tagging in folksonomy. Due to lack of semantic meaning, it is difficult for users to find related resources. Also, short...
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