Huge multilingual news articles are reported and disseminated on the Internet. ltow to extract the kcy information and savc the reading time is a crucial issue. This paper proposes architecture of multilingual news sumlnarizer, including monolingual and multilingual clustering, similarity measure among lneaningful ullits, and presentation of summarization results. Translation anlong news storie...

Media in general and news in particular constitute indispensable parts of modern life. TV news which contains visual elements in addition to the verbal aspects was used as the corpus of this study. In fact, this research culled out the ideologies of Iranian national television in presenting different issues. To be more precise, three internationally-significant pieces of news reports were chose...

Huge multilingual news articles are reported and disseminated on the Internet. How to extract the key information and save the reading time is a crucial issue. This paper proposes architecture of multilingual news summarizer, including monolingual and multilingual clustering, similarity measure among meaningful units, and presentation of summarization results. Translation among news stories, id...

This paper presents the approach of the ESPRIT project HyNoDe (EP 22160 Hypermedia News on Demand) towards a novel Personalised News-On-Demand (PNoD) Service. The HyNoDe Service Personalised feature refers to customisation of the service to suit individual needs and preferences of the clients based on the information filtering concept. The service addresses all the involved phases in the news p...

The current study explores the relationship between personality traits and self-presentation at Facebook. An online survey of Facebook users was conducted. The results suggest that extraversion was positively related to self-presentation both on Wall and at News Feed. Extraverts uploaded photos and updated status more frequently, and had more friends displayed on Wall than introverts. Besides, ...

Users often issue web queries related to current news events. For such queries, it is useful to predict the news intent automatically and highlight the news documents on the search result page. An example query would be “election results” issued during the time of elections. These highlighted displays are called news verticals. Prior work has proposed several features for predicting whether a q...

We have developed a news portal site called Fair News Reader (FNR) that recommends news articles with different sentiments for a user in each of the topics in which the user is interested. FNR can detect various sentiments of news articles, and determine the sentimetal preferences of a user based on the sentiments of previously read articles by the user. While there are many news portal sites o...

Case presentation drives production and spurs practice growth. Without a strong case presentation system in place, your practice could face flat or lost production . . . something you can’t afford to risk in today’s economy. The good news is that many dental practices increase case acceptance significantly, for both need-based and elective treatment, simply by implementing a strong case present...

In this paper we discuss how we applied personalization techniques to the problem of accessing news servers on the internet. We describe the user modeling techniques that we adopted and we show how imposing a (shallow) structure to the database of news allowed us to define strategies for personalizing the detail level of the presentation.