This paper describes the automatic building of a corpus of short Swedish news texts from the Internet, its application and possible future use. The corpus is aimed at research on Information Retrieval, Information Extraction, Named Entity Recognition and Multi Text Summarization. The corpus has been constructed by using an Internet agent, the so called newsAgent, downloading Swedish news text f...

New methods are needed for accessing very large information services. This paper proposes the use of a user model neural network to allow better access to a news service. The network is constructed on the basis of articles read, and articles marked as rejected. It adapts over time to better represent the user’s interests and rank the articles supplied by the news service. Using an augmented key...

It is widely recognized that every media outlet has its own ”spin” on news, and this bias has been described in many ways and at many levels. In political news for example, the bias can be liberal, conservative, moderate, corporate, etc. In addition, recent research has focused on the ’sentiment dimension’ to further identify and categorize news bias. This is achieved through analysis of the ad...

Company movements and market changes often are headlines of the news, providing managers with important business intelligence (BI). While existing corporate analyses are often based on numerical financial figures, relatively little work has been done to reveal from textual news articles factors that represent BI. In this research, we developed BizPro, an intelligent system for extracting and ca...

In this paper we present a proposal including collocations into the pre-processing of the text mining, which we use for the fast news article recommendation and experiments based on real data from the biggest Slovak newspaper. The news article section can be predicted based on several article’s characteristics as article name, content, keywords etc. We provided experiments aimed at comparison o...

Tourists may rely on external information to make various decisions. By understanding the relation between information source characteristics and decision making, tourist operators can improve their communication performance and marketing efforts. Some businesses use corporate blog as a communication platform to engage their customers with the companies. Researches about the causal relationship...

This paper presents a model of case based corporate memory named ReCaRo (REsource, CAse, ROle). The approach suggested in ReCaRo decomposes the domain to model through a set of components. These components represent the objects developed by the company during its activity. They are reused, and sometimes, while bringing adaptations. These components are enriched by knowledge after each reuse. Re...

This study found that most corporate personnel are using social media to communicate with colleagues to make the process of working more efficient. Complete satisfaction occurred on the use of security within the University’s computer network. The social network usage for communication, collaboration, entertainment and demonstrating concerns accounted for fifty percent of variance to predict in...