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EN
Purpose: The objective of the paper is to use text mining to identify leading research domains concerning the smart city following an analysis of research articles with a high citation index according to the Web of Science. Design/methodology/approach: An original method is proposed for analysing academic texts using the R language, tokenisation, lemmatisation, n-grams and correspondence analysis. The author analysed fifty of the most cited articles indexed in the Web of Science from 2014 to 2019. Findings: The paper presents the advantages and drawbacks of the proposed method of analysing research publications. The assets include automation and repeatability of the analysis of a large number of documents and improved knowledge about links among the articles in terms of research domains. The disadvantage is the loss of information from diagrams and figures. The method identified two leading research domains related to the notion of the smart city, technologies and systems. The analysed publications were categorised by selected keywords. Research limitations/implications: Future work should include further refinement of the assumptions for the method, analyses of a more significant number of research texts and a narrowing down of the domain of the smart city. It is desirable to consider other functional domains of the city, such as energy, public health, environmental protection or transport. Practical implications: The proposed method can complement a standard literature analysis regarding the smart city. The leading research domains related to the smart city in the analysed articles were systems and technologies employed to improve how the city operates. Social implications: Text mining can be employed by various experts focusing on the smart city and constitutes a refreshing complement for other research methods, such as questionnaire surveys, interviews or observations. Originality/value The publication can be useful for researchers from various fields and managers seeking to create and use simple, useful methods and tools for analysing unstructured text documents for decision-making. The paper proposes a separate text mining analysis of abstracts and whole documents using n-grams. This yielded a more precise list of areas relevant to the smart city. The grouping was done using correspondence analysis of the fifty most cited articles indexed in the Web of Science from 2014 to 2019.
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2022
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tom z. 161
365--380
EN
Purpose: The first objective of this article was an attempt at identifying the major differences between such terms as public relations (PR), digital public relations (DPR) and digital marketing (DM). The second objective was to employ selected web data scraping techniques to analyse DPR of service providers installing photovoltaic systems. Design/methodology/approach: The first objective of this article was achieved by analysing reference works. To achieve the second objective, the author used MS Excel, web scraping and proprietary computer scripts in R and Python. In this way, selected details were obtained from the companies catalogue at panoramafirm.pl and Google search engine, and then the received results were compared and analysed. What is more, the results from Google search engine were obtained and analysed for 964 towns and cities entered in the engine with the “photovoltaics” phrase. Findings: 50 thousand URLs were obtained and 1,755 unique website domain addresses were extracted. Analysing the content of websites at the obtained Internet domains, 6 major categories of websites were identified, which appeared in the first 10 search results for the photovoltaic-related queries. These are: Company Websites (CW), Blog Websites (BW), Announcement Services (AS), SEO Landing Pages (SLP), Public Announcement Pages (PAP) and Social Media Page (SMP). Each of these categories is characterised briefly and a few examples are provided for each of them. Research limitations/implications: The limitations of this article include the focus on one companies catalogue, i.e., panoramafirm.pl, and the results from Google search engine solely for the Polish language. Moreover, only the results of the first 10 links from Google engine for the single “photovoltaics” phrase and town/city name were taken into consideration. Originality/value: This article has a theoretical and practical value. The analysis allowed to identify six categories of websites, which may be analysed with respect to digital public relations in the area of photovoltaic system installation. The most important of them are the websites belonging to the Company Website (CW) and Social Media Page (SMP) types. This article is addressed to anyone interested in obtaining data from the Internet using web scraping technique and data analysis in the area of digital public relations (DPR).
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tom z. 149
361--369
EN
Purpose: The subject of the research were the logos of individual facilities of rural tourism in Poland found on the websites of these facilities. Design/methodology/approach: The research covered 243 websites hosted on paid domains. A semantic, formal and aesthetic analysis of graphic signs was conducted. The research was conducted by way of exploratory method. Logos were found on 202 websites. 41 facilities did not use a graphic sign. In 112 cases the logo was composed of a symbol and logotype. Findings: In 147 cases the logos had a traditional form (traditional, neutral, rustic) or used elements associated with rural areas. In 49 cases, the logos were assessed as modern. Originality/value: What was noted was the fact that in hyper-text documents, logos perform numerous functions. Apart from making the navigation easier, they can also have a dynamic, multimedia form. On the basis of analysis of graphic signs, two main types of rural tourism facilities were distinguished: “traditional” and “commercialized” ones.
EN
Purpose: The article presents the concept of profiling a website. Profiling is focused on the quality of the SEO (search engine optimization) audit and the conclusions that flow from it, and its goal is to increase the effectiveness of the review. The primary purpose of the work was to assess the accuracy of the characteristics prepared in this way. Design/methodology/approach: Four websites related to the hotel industry have been profiled and compiled in pairs, whose addresses were obtained from an Internet search engine. The tests were performed using selected testing tools. Findings: It has been shown that based on an analysis of SEO attributes, one can create a technological profile of a site without browsing it first, and the relevance of profiling is determined by two factors: the auditor’s experience and audit scope, including the quality and number of testing tools used. Practical implications: The idea of profiling involves looking at a website only through the prism of an SEO audit, which changes the perspective and forces a more in-depth analysis of SEO tests. This can contribute to better use of information obtained during an inspection. Profiling is often treated as an activity supplementing an SEO audit in the case of a lack of access to testing tools when the test results are incomplete, insufficient, or inaccessible. Originality/value: By analyzing SEO attributes, one can create a technology profile and a specific site characteristic without browsing it first. Two factors determine the relevance of profiling: the auditor’s experience and the quality and scope of the audit performed by the testing application.
EN
Purpose: The development of the tourist function is possible in attractive tourist areas. The indication of areas of tourist interest is possible, thanks to the assessment of tourist and recreational attractiveness. Conditions for the development of tourism can be described, among others using aggregated synthetic indicators. The purpose of the work is to analyze the attractiveness of the tourist and recreational space of the Bielsko County (Silesian Voivodeship, Poland). Design/methodology/approach: The research area was chosen because of its tourist potential and location in a region with exceptional natural and cultural values. The research used multidimensional comparative analysis, synthetic measures method, and questionnaire form. Findings: It has been shown that in the adopted research model, the most attractive tourist destination is the commune of Szczyrk, and the most attractive investment is the urban-rural commune of Czechowice-Dziedzice. Research limitations/implications: The results of surveys do not always coincide with the results of the multidimensional comparative analysis made using the synthetic measures method, so it is worth using various research methods to assess the attractiveness of the tourist and recreational space of a given region. Originality/value: Valorization carried out using the Gołembski synthetic metering method allowed to determine how the general conditions for the development of tourism are shaped in individual communes of the Bielsko County.
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