1,720,954 research outputs found
Text analytics on the case of Macedonian companies
No full textThe subject of this paper is to present the content analysis with some of the latest textanalytics tools on the case of three Macedonian companies Alkaloid, NLB Banka andMakedonski Telekom. The subject of text analytics is annual addressing of the CEO’s(Chief Execute Officer) integral parts of the annual reports for 2016, 2017 and 2018.Annual reports are used as a text input for the text analytics case. The text analyticscase is presented through bag of words and word cloud for determination of key termsfrequency. The frequency of the key word (tokens) selected in each category indicatesthe focus of the company for the period addressed. At the same time this frequencystatus suggests the focus of the company in the future involvements.Sentiment analysis included in this text analytics case aims to determine the opinionexpressed by the CEO’s related to the reported and following business period. At thesame time feature of topic modeling is extracting topics from the CEO’s addressing foreach company for the observed period.The goal of this paper is to present the analytical framework for business contentanalysis and to test it on the text input in the example of the annual reports. In our caseresults and findings from the analysis suggest that three companies through thisanalytical framework present different management strategies with different focus onoperational and market segment. Alkaloid according to the result has orientation onmaximization of management performance and decision making. The focus on NLBbank is on the continuous improvement on its competitive advantage againstcompetition. Although, the case of Makedonski Telekom with the presented resultssuggested that the company focuses on the continuous improvement of services,products and the network infrastructure supporting them
Forecasting Industrial Production in the Eurozone: A Scenario-Based Analysis Using Macroeconomic Indicators
No full textThis study develops a scenario-based forecasting framework to predict monthly industrial production in the Eurozone using key macroeconomic indicators: inflation (HICP), unemployment, and the business climate index. Recognizing the limitations of traditional quarterly GDP models, which provide less timely data and lower forecasting frequency, the study focuses on high-frequency indicators that can enable more responsive and immediate forecasts. By utilizing Eurostat data from January 2000 to January 2025, this research explores how monthly economic indicators can be leveraged for accurate and adaptive predictions. The forecasting process applies PyCaret, an automated machine learning library in Python, to compare and select the most effective regression model from eleven tested algorithms. The K Neighbors Regressor was identified as the best-performing model, with a Mean Absolute Error (MAE) of 2.30 and a Root Mean Squared Error (RMSE) of 2.68, showing robust accuracy in industrial production forecasting. The model is then applied to simulate two macroeconomic scenarios: an optimistic scenario with lower inflation and improved sentiment and a pessimistic scenario with higher inflation and weakened sentiment, all while keeping the unemployment rate stable. The results highlight that industrial production is more sensitive to adverse macroeconomic shocks than positive ones, underscoring the critical role of inflation and business sentiment as short-term economic predictors. This study demonstrates the potential of combining high-frequency data with automated forecasting techniques. It offers a scalable and actionable approach for policymakers, analysts, and businesses who seek to monitor economic activity under varying economic conditions and uncertainty. The findings emphasize the importance of dynamic scenario analysis in forecasting, providing a flexible tool for real-time economic monitoring
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Get PDF“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Get PDFWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Get PDFWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
koamabayili/VECTRON-author-checklist: VECTRON author checklist
No full textWe have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
Author-wise bibliometric analysis based on entropy.
No full textAuthor-wise bibliometric analysis based on entropy.</p
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