Term Frequency Analysis Research Articles

Where is River City, USA? Measuring Community Attachment to the Mississippi and Missouri Rivers

This paper attempts to determine the location of towns self-identifying as metaphorical “River Cities” through quantitative methods informed by concepts of place attachment. Relative levels of river-oriented community attachment are measured by a frequency analysis of certain river-related terms in the names of businesses located in 213 U.S. counties adjacent to the Missouri and Mississippi rivers. Population-adjusted frequencies of the terms “river city,” “river cities,” “river town,” “big river,” “great river,” “Missouri River,” and “Mississippi River” in business names are used as proxy measures of community attachment to the river. The mapped results identify regional concentration and variation in river-centered community identity. Contextualized within the place attachment literature, these results suggest that the importance of big rivers to collective sentiment, self-presentation, image, and identity varies greatly from place to place.

Web content mining for comparing corporate and third‐party online reporting: a case study on solid waste management

AbstractThis study investigates the coverage of solid waste management on 1142 websites maintained by companies, news media and non‐governmental organizations to validate an automated approach to content and language analysis. First, a frequency analysis of waste management terms sheds light on the breadth and depth of their environmental discourses, revealing that corporate and media attention to waste management is small compared with that of non‐governmental organizations. Second, an investigation of their attitudes toward waste management suggests that companies avoid negative information in environmental communication, unlike news media or non‐governmental organizations. Ultimately, an automated tool for ontology building is employed to gain insights into companies' shared understanding of waste management. The ontology obtained indicates that companies conceptualize waste management as a business process rather than framing it from an ecological perspective, which is in line with findings from previous research. Copyright © 2006 John Wiley & Sons, Ltd and ERP Environment.

A Knowledge Component Analysis Model Based on Term Frequency and Correlation Analysis

Knowledge extraction, storage, management and reuse are the typical issues for an enterprise to maintain its competitiveness in the knowledge economy. Implicit knowledge of the domain experts is usually extracted and represented in the form of documents. The valuable knowledge lying in the documents should be explored and reconstructed by human beings through reading. Regarding the knowledge recognition issue, this paper proposes a model for document component analysis. In the proposed approach, two algorithms, namely frequency repository construction algorithm and document fragmentation algorithm, are developed. By construction of term frequency and correlation repositories, a comparison basis for document fragmentation is established. A web-based platform as well as a real case (i.e., analysis of intellectual property (IP) documents of automobile component designs) is provided to demonstrate the feasibility and performance of the proposed model. Concerning the importance of document contents and structure, the document fragmentation model can be applied in the enterprise knowledge management systems for efficient knowledge representation and acquisition.

A cognitive view of three selected online search facilities

This paper discusses the impact of three selected command language facilities on the man—system interface in relation to operational online information retrieval (IR). The concept of data and information is briefly considered in relation to the cognitive viewpoint and Brookes ‘fundamental equation of information science.’ A cognitive IR model is out‐lined, followed by a discussion of variously experienced searchers' knowledge structures. Recently developed online search facilities such as use of positional operators (free text operations), crossfile searching and term frequency analysis (zooming—as the ES A‐Quest command language calls it) are discussed in relation to the IR process. The cognitive view is applied as the means to describe and emphasise the retrieval possibilities and the state of knowledge involved in the interface processes.