For the last few years, text mining has been gaining significant importance. Since Knowledge is now available to users through variety of sources i.e. electronic media, digital media, print media, and many more. Due to huge availability of text in numerous forms, a lot of unstructured data has been recorded by research experts and have found numerous ways in literature to convert this scattered...

With the growth of digital libraries and the internet, large volumes of text are available in electronic form. The majority of this text is English but other languages are increasingly well represented, including large-alphabet languages such as Chinese. It is thus attractive to compress text written in the large alphabet languages, but the general-purpose compression utilities are not particul...

Correct and efficient text classification is a major challenge in today’s world of rapidly increasing amount of accessible electronic text data. Kohonen networks have been applied to document classification with comparable success to other document clustering methods. An important challenge is to devise text similarity metrics that can improve the performance of text classification Kohonen netw...

BACKGROUND The process of creating and designing Virtual Patients for teaching students of medicine is an expensive and time-consuming task. In order to explore potential methods of mitigating these costs, our group began exploring the possibility of creating Virtual Patients based on electronic health records. This review assesses the usage of electronic health records in the creation of inter...

This paper presents how text -mining techniques can be used to analyze an enterprise’s external environment searching for competitors, related products and services, marketing strategies and customers’ opinions. A case study, using the UNCTAD Electronic Trading Opportunities (ETO) System, is presented. The ETO system enables “Trade Points” and trade-related bodies to exchange information by e-m...

OBJECTIVES (1) To develop methods for conducting cluster randomised trials of text messaging interventions utilising routine electronic health records at low cost; (2) to assess the effectiveness of text messaging influenza vaccine reminders in increasing vaccine uptake in patients with chronic conditions. DESIGN Cluster randomised trial with general practices as clusters. SETTING English p...

This paper proposes a method of collecting a dozen terms that are closely related to a given seed term. The proposed method consists of three steps. The first step, compiling corpus step, collects texts that contain the given seed term by using search engines. The second step, automatic term recognition, extracts important terms from the corpus by using Nakagawa’s method. These extracted terms ...

One condition of eDiscovery making it unique from other, more routine forms of IR is that all documents retrieved are settled by human inspection. Automated IR tools are used to reduce the size of a corpus search space to produce smaller sets of documents to be reviewed. However, a limitation associated with automated tools is they mainly employ statistical use of search terms that can result i...

The increasing volume of information generated on microblogging sites such as Twitter raises several challenges to traditional text mining techniques. First, most texts from those sites are abbreviated due to the constraints of limited characters in one post; second, the input usually comes in streams of large-volumes. Therefore, it is of significant importance to develop effective and efficien...

nBACKGROUND: Electronic health records (EHRs) may reduce medical errors and improve care, but can complicate clinical encounters. OBJECTIVE To describe hospital-based physicians' perceptions of the impact of EHRs on patient-physician interactions and contrast these findings against office-based physicians' perceptionsMethods: We performed a qualitative analysis of comments submitted in respon...