The problems associated with automatic analysis of news telecasts are more severe in a country like India, where there are many national and regional language channels, besides English. In this paper, we present a framework for multimodal analysis of multilingual news telecasts, which can be augmented with tools and techniques for specific news analytics tasks. Further, we focus on a set of tec...

Deal sites are widely used for some time and there is a growing body of knowledge on them. There exists literature on infomediaries. But there is a gap when it comes to infomediaties focused on deal sites, i.e. aggregators of deal site offers. The research focused on impact of Big Five Inventory personality traits on whether respondents prefer visiting individual deal sites, or aggregators, or ...

This paper examines the development of web aggregators, entities that collect information from a wide range of sources, with or without prior arrangements, and add value through post-aggregation services. New Web-page extraction tools, context sensitive mediators, and agent technologies have greatly reduced the barriers to constructing aggregators. We predict that aggregators will soon emerge i...

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Threshold limit values (TLVs) are intended to protect workers from the severest effects of thermal stress and to establish the exposures to heat in working conditions. Earlier, acute heat strokes often occurred as a result of working in hot environments in Japan. However, acute heat strokes recently sometimes occurred in outdoor work environments such as industrial constructions and agriculture...

As the capital markets evolve and expand, more and more data is being created daily. This explosion of data has made the flow of information much more efficient. As market participants act on this information flow, it drives market prices to more efficient values, . One of the driving forces in this march to efficiency, is the application of various algorithmic learning techniques on both marke...

We present a method for summarizing broadcast news that is not affected by word errors in an automatic speech recognition transcription, using information about the structure of the news program. We construct a directed graphical model to represent the probability distribution and dependencies among the structural features which we train by finding the values of parameters of the conditional pr...

Recent empirical research in finance has uncovered two families of pervasive regularities: underreaction of stock prices to news such as earnings announcements, and overreaction of stock prices to a series of good or bad news. In this paper, we present a parsimonious model of investor sentiment, or of how investors form beliefs, which is consistent with the empirical findings. The model is base...

breaking bad news is quite often not done in an effective manner in clinical settings due to the medical staff lacking the skills necessary for speaking to patients and their families. bad news is faced with similar reactions on the part of the news receiver in all cultures and nations. the purpose of this study was to explore the perspectives of iranian nurses on breaking bad news to patients ...