Jae-Bong Yoo

Learn More
Learning sentiment models from short texts such as tweets is a notoriously challenging problem due to very strong noise and data sparsity. This paper presents a novel, collabora-tive filtering-based approach for sentiment prediction in twit-ter conversation threads. Given a set of sentiment holders and sentiment targets, we assume we know the true(More)
Although many college courses adopt online tools such as Q&A online discussions, there is no easy way to evaluate their impact on learning. In this paper, we investigate a predictive relation between characteristics of discussion contributions and student performance. For modeling dynamics of conversational dialogue, speech acts (Q&A dialog roles that(More)
This paper examines the role of sentiment in information propagation. We make use of political communication in the Twitter space, and relate emotion expressions in a message to the degrees of responses generated by the message. We also compare differences between user reply vs. retweet behavior with respect to sentiment variables. The current results(More)
Although many college courses adopt online tools such as Q&A online discussion boards, there is no easy way to measure or evaluate their effect on learning. As a part of supporting instructional assessment of online discussions, we investigate a predictive relation between characteristics of discussion contributions and student performance. Inspired by(More)
As the Internet has been growing, WWW(World Wide Web) based services have become more popular, and the number of those using the service has increased excessively. To support these services, the processing of many transactions has become essential in the Internet. There are many researches regarding user profiling on web services to support those(More)
Transportation has been playing important role in our society by providing mobility for people, freight, and information. However, it cuts its own throat by causing car accidents and, traffic congestion, and air pollution. The main cause of these problems is a noticeable growth in the number of vehicles. The easiest way is to build new road infrastructures(More)
Traffic simulators are very cost-effective and time-effective tools for improving infrastructure. Nowadays, microscopic model approaches have been in the limelight for traffic researchers, because they allow for more precise descriptions of the physical road environment as computer power continues to increase. The microscopic simulators focus on individuals(More)
As home network technologies are improving, sensors collecting environmental information such as temperature, humidity, and illumination in a building or a house are evolving. One of the many available home network technologies is fire detection. Many sensors have been developed for fire detection using CCTV cameras or fiber-optical sensors. We focus on(More)
As the number of Internet users increases, they exchange and share information more and more frequently. In such an environment, reliable transactions are an important consideration. However, if individual users do not reflect their preferences, transactions cannot occur despite the users' trustworthiness. Considering this, most conventional research(More)
  • 1