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EN
This study aims to evaluate the applicability of a text mining approach for extracting UUX-related issues from a dataset of user comments and not to evaluate the Instagram (IG) app. This study analyses textual data mined from reviews in English written by IG mobile application users. The article’s authors used text mining (based on the LDA algorithm) to identify the main UUX-related topics. Next, they mapped the identified topics with known theoretical constructs to place them in their nomological network relevant to the usability (the 5Es framework by Quesenbery) and UX (the Honeycomb model by Morville). Finally, to expand the study with an emotional diagnosis, sentiment analysis was performed on two levels: (i) for each recognised topic, and (ii) for the full dataset to uncover general insights into users’ emotions within all reviews. The case study of the IG app confirms the usefulness of user feedback data for software development and points out that the review data have the potential for the early detection of frustration and negative feelings introduced during the use of the application. Conducting conventional UUX evaluations with users is problematic since they are remotely located, and the user-generated content of a social app undergoes continuous and frequent changes. Thus, the consecutive stages of the proposed methodology, based on text mining algorithms, constitute a proposed framework for examining the user-perceived quality projection of applications from user feedback, and they are the main contribution of this article. The used approach can be valuable for helping developers, designers and researchers to reveal user problems and fulfil user satisfaction regarding UUX aspects for specific software features.
EN
The article aims to analyse and compare experiences gained by tourists visiting three national parks in Poland. The authors focused on the following questions: What are people's experiences visiting national parks in Poland? Do the natural assets of the national parks affect visitors' unique experiences, or are environmentally valuable areas not crucial for their experiences? The authors used mixed quantitative (text mining, correspondence analysis) and qualitative (content analysis) methods. The data for analysis were opinions written by TripAdvisor users. Reviews on TripAdvisor indicate that the most important experiences for tourists in the National Parks studied were Nature appreciation and Physical activity. The other groups of experiences reflected in the reviews were: Aesthetic, Connection, Tension and Excitement. This confirms that nature is the most important feature of national parks for tourists, but it also indicates a trend to maintain good health and the desire to regenerate physical strength in areas of natural beauty.
PL
Celem artykułu jest analiza i porównanie doświadczeń turystów odwiedzających trzy parki narodowe w Polsce. Autorzy skupili się na następujących pytaniach: Jakie są doświadczenia osób odwiedzających parki narodowe w Polsce? Czy walory przyrodnicze parków narodowych mają wpływ na ich unikalne doświadczenia, czy też obszary cenne przyrodniczo nie są dla nich ważne? Autorzy zastosowali mieszane metody: ilościowe (text mining, analiza korespondencji) i jakościowe (analiza treści). Dane do analizy stanowiły opinie użytkowników serwisu TripAdvisor. Analiza recenzji z TripAdvisora wskazała, że najważniejszymi doświadczeniami turystów uzyskanymi w badanych parkach narodowych było: docenianie przyrody i aktywność fizyczna. Pozostałe grupy doświadczeń odzwierciedlone w recenzjach to: estetyczne, kontaktów, napięcia i ekscytacji. Stwierdzono, że przyroda jest dla turystów najważniejszym walorem parków narodowych. Badania wskazały także na tendencję wśród turystów do dbania o zdrowie i chęć regeneracji sił fizycznych na terenach o wybitnych walorach przyrodniczych.
EN
Purpose: To identify the duties and responsibilities of project managers by analysing the content of online job advertisements. Design/methodology/approach: Job advertisements were automatically downloaded for 63 countries/areas available on Indeed. A text mining analysis of fragments of the advertisements describing the scope of duties was carried out. The text mining analysis included initial text processing, creating corpora of the documents, creating a document-term matrix, and using classic methods derived from data mining. Findings: The research established the most frequently used words and n-grams in job advertisements. They have been presented in the form of figures. The 2-grams are also presented in the form of a net, a directed graph. The LDA algorithm identified abstract topics describing the duties and responsibilities of project managers. The most frequent words, n-grams, and topics identified by the LDA algorithm were used to identify the duties and responsibilities of project managers. Research limitations/implications: Only job advertisements written in English were analysed. The postings were downloaded only for six days. An attempt to automatically identify the responsibilities section did not yield the expected results. Therefore, it was carried out manually for random advertisements, which reduced the number of analysed documents. The content of the job advertisements was not analysed by country/area. Practical implications: The method applied can be used by organisations training future project managers, to modify and better adapt curricula to the needs of the labour market. Originality/value: Studies have shown that text mining of job advertisements can help determine the duties and responsibilities of project managers.
PL
Cel: Celem niniejszego przeglądu literatury jest zidentyfikowanie głównych nurtów tematycznych występujących w literaturze naukowej w obszarze odporności organizacyjnej. Projekt badania/metodyka badawcza/koncepcja: Przegląd literatury (formalna eksploracja tekstu) 266 artykułów opublikowanych pomiędzy 01.2003 r. i 11.2022 r. Wyniki/wnioski: Przeprowadzona analiza literatury pozwoliła na: zidentyfikowanie strumieni tematycznych w artykułach dotyczących odporności organizacyjnej, wskazanie zagadnień najczęściej analizowanych i wartych uwagi w zapewnianiu ciągłości działania organizacji. Ograniczenia: Wyniki zawężone są do zastosowanych słów kluczowych oraz danego czasu analizy (statyczne ujęcie), co stanowi klasyczne ograniczenie w przeglądach literatury. Zastosowanie praktyczne: Przedstawione zagadnienia mogą być wykorzystane przez praktyków biznesu w procesie wzmacniania odporności organizacyjnej i tym samym maksymalizacji ciągłości działania. Dla naukowców identyfikacja strumieni odporności organizacyjnej może stanowić wskazanie kierunków dalszych badań. Oryginalność/wartość poznawcza: Główną wartością artykułu jest wykazanie znaczenia elementów odporności organizacyjnej w codziennych decyzjach zarządczych.
EN
Purpose: The purpose of this literature review is to identify the main thematic trends in the scientific literature in the field of organizational resilience. Design/methodology/approach: Literature review (formal text exploration) of 266 articles published between 01.2003 and 11.2022. Findings/conclusions: The conducted analysis of the literature allowed for: identification of thematic streams in articles on organizational resilience, indication of the most frequently analyzed issues and worth attention in ensuring the continuity of the organization’s operation. Research limitation: The results are narrowed down to the keywords used and the time of the analysis (static approach), which is a classic limitation in literature reviews. Practical implications: The presented issues can be used by business practitioners in the process of strengthening organizational resilience and thus maximizing business continuity. For scientists, identifying flows of organizational resilience may be an indication of the directions for further research. Originality/value: The main value of the article is to demonstrate the importance of the elements of organizational resilience in everyday management decisions.
EN
The goal of this study is to review the literature in the field ofmeshfree methodsusing textmining. For this study, the abstracts of around 17330 relevant articles published from 1990to 2020 were collected from Scopus. Text mining techniques such as the latent Dirichletallocation (LDA), along with the calculation of term frequencies and co-occurrence coefficients were used to analyze the text. The study identified a few key topics in the field ofmeshfree methods and helped to see the evolution of the field over the past three decades.Furthermore, the trend in the number of publications and frequency map highlightedresearch trends and lack of focus in certain areas. The co-author network visualizationprovided interesting insights about collaboration between different researchers around theworld. Overall, this study facilitates a systematic literature review in the field of meshfreemethods and provides a broader perspective of the field to the research community.
EN
By analyzing the individual stages of the building's life cycle, it can be easily concluded that the building's exploitation process is the longest and at the same time it is the justification for the construction project related to the construction of this building. In the course of the building's exploitation, various phenomena occur that affect its condition and thus the possibility of unlimited use. These are natural phenomena, as well as phenomena derived from external influences, which often lead to deterioration of the building's condition, or even its degradation. In response to these phenomena, maintenance, renovation and modernization activities are undertaken. Technical management is related to the identification of these phenomena, programming of adequate measures and their implementation. The conducted analysis of the results of the survey in the group of property managers allows to state categorically that the process of technical management is relatively little supported by IT tools and is still based on individual analysis and often intuitive actions. The article presents the possibilities of applying an innovative approach in the acquisition and collection of information about the technical condition of buildings, indicating the legitimacy of standardizing information forms and using them in building a database of cases of the CBR (case based reasoning) inference system .
PL
Okres eksploatacji obiektu budowlanego jest docelowo najdłuższym etapem w cyklu życia obiektu, któremu podporządkowane są wszelkie poprzedzające go etapy cyklu życia. Analizując literaturę przedmiotu odnosi się wrażenie, że proporcjonalnie mało uwagi poświęca się zagadnieniom występującym na etapie eksploatacji. Gros uwagi skupione jest na zagadnieniach występujących na etapie projektowania, przygotowania i samej realizacji inwestycji. Poniekąd jest to właściwe, albowiem poprawne zaprojektowanie i zrealizowanie przedsięwzięcia winno skutkować redukcją problemów na etapie eksploatacji. Nie można ich jednak całkowicie wyeliminować, albowiem wynikają również z czynników zewnętrznych jak i naturalnych. Jednocześnie należy zauważyć, że zagadnienia problemowe występujące na etapie eksploatacji mają charakter kompleksowy i obejmują wiele czynników, w tym również pozatechnicznych. Obserwacje bezpośrednie zagadnień jakie występują na etapie eksploatacji budynków mieszkalnych pozwalają sformułować wniosek o konieczności stałego monitorowania stanu technicznego budynku i w związku z jego zmianą aktywnego działania poprzez planowanie adekwatnej polityki utrzymaniowej i remontowej. Również bezpośrednie obserwacje pozwalają stwierdzić, że w wielu przypadkach, pomimo zaistnienia potrzeby wdrożenia działań utrzymaniowych i remontowych, ze względów ekonomicznych, te nie są wdrażane. Wynika to z faktu, że wdrożenie działań, w szczególności remontowych, wymaga odpowiednio wczesnego przygotowania i zapewnienia środków finansowych na niezbędne nakłady. W przypadku drastycznego pogorszenia stanu technicznego budynku, częstokroć wysokość niezbędnych nakładów przewyższa możliwości finansowe właścicieli i użytkowników, co w konsekwencji prowadzi do jeszcze większej degradacji stanu technicznego. Z uwagi na to, istotnym jest prognozowanie nakładów finansowych niezbędnych na działania utrzymaniowe i remontowe, których zakres jak i zasadność wynika ze zmian stanu technicznego budynku. W aspekcie stwierdzonej zasadności prognozowania nakładów finansowych oraz planowania polityki utrzymaniowo-remontowej dokonano analizy stanu faktycznego poprzez badania ankietowe. Na podstawie uzyskanych wyników stwierdzono m.in., że wykorzystanie rozwiązań IT dedykowanych do zarzadzania nieruchomościami obejmuje 53,06% badanych podmiotów - zarządców nieruchomości. Ponadto stwierdzono, że same rozwiązania IT dedykowane dla zarządzania nieruchomościami w marginalny sposób obejmują zagadnienia typowo techniczne, a akcentują zagadnienia administrowania, rozliczania opłat i ich księgowania, czy komunikacji. Co szczególnie mało satysfakcjonujące, w oparciu o wykonane badanie ankietowe, jak również obserwacje bezpośrednie, zauważa się brak wykorzystania zalet BIM w zarządzaniu nieruchomościami. Ma to jednak uzasadnienie w tym, że technologia BIM obecnie upowszechniła się w projektowaniu i w realizacji i w związku z tym dopiero w pewnej perspektywie czasowej zauważalne będzie wykorzystanie BIM w zarządzaniu nieruchomościami, tym bardziej, że już kilka lat temu stworzono podwaliny BIM 7D.
EN
Purpose: The paper presents an analysis of a scientific publication with regard to the frequency of words and n-grams. The research problem addressed was the question to what extent the text mining analysis of a scientific publication will allow to infer its content. Design/methodology/approach: The main research method is the analysis of tokenized text using word count functions, bigrams, and trigrams in selected sections of a scientific publication. The results of text mining analysis were compared with the classic, non-automated text analysis of the publication. The presented study is a pilot project in the form of a case study. Findings: The proposed method of analyzing a scientific text using an analysis of the frequency of words and n-grams enables inference of the content of the paper with regard to the names of variables involved in the study, the statistical apparatus used and the key literature cited. It should be observed, however, that the discussed method does not make it possible to establish which variables are moderators and which are mediators. Originality/value: In this paper, the text mining technique was used differently in the discussed study than in previous works. The publication was not examined in its entirety, as previous researchers did, but text mining analysis was applied to individual parts of the paper, i.e. the part discussing theoretical foundations of the research and the part presenting the research method, research results, and their discussion. This allowed for obtaining more precise results regarding the content of the publication.
EN
Purpose: An attempt to identify the duties and responsibilities of the project manager by analysing job offers from a job website. An attempt to determine whether there were any changes between 2018 and 2019. Design/methodology/approach: Text mining was performed for fragments of job offers, describing the duties and responsibilities. The text mining analysis consisted of initial processing of the text, creation of a corpus of analysed documents, construction of a word frequency matrix and use of classical methods from the data mining are. Findings: The most common words in job offers are presented, as well as their correlation with other words. With the use of the Topic modeling algorithm, hidden topics describing the analysed job offers have been generated. These topics can also be used to identify the duties and responsibilities of a project manager. Research limitations/implications: Only the job offers meeting the following conditions were analysed: (1) they concerned the job of „project manager”; (2) the content was in Polish; (3) they were provided by www.pracuj.pl website; (4) they were collected from 09 to 11 April in 2018 and 2019. Practical implications: This method can be used by organizations training project managers, in order to modify and better adjust the curriculum to the needs of the labour market. Originality/value: Research has shown that text mining can be used to determine the responsibilities of a project manager by analysing job offers.
EN
Purpose: The objective of this paper is to identify leading technologies in Industry 4.0. Design/methodology/approach: The identification was made with the use of text mining to explore the scientific texts in this field. Assumptions of own iterative method for analyzing scientific texts were proposed, with the use of R language, tokenization, lemmatization, n-grams and correspondence analysis. The assumptions of the proposed method were used to analyze the 40 most often quoted articles indexed in the Web of Science. Findings: On the basis of the obtained results, 4 leading technologies were identified. These are Cloud Computing, Internet of Things, Cyber-physical System and Big Data. Originality/value: The article proposes an original method of identifying the leading technologies used in Industry 4.0. The proposed method is based on text mining and correspondence analysis.
EN
Purpose: An attempt to identify the competencies of the project manager desired by the employers and to determine whether changes have occurred over time. Design/methodology/approach: Job offers were automatically downloaded from website with job offers. An analysis of text mining of fragments of offers describing the competence was carried out. The analysis of text mining included initial text processing, creation of corpora of analyzed documents, creation of a document-term matrix, topic modeling algorithm and the use of classic methods derived from data mining. Findings: The most frequently used words/n-grams and the correlation of selected words/ n-grams with other words/n-grams were presented in the form of drawings. Based on the frequency of words/n-grams and the correlation value, efforts were made to identify the project manager competencies. The topic modeling algorithm was used to generate topics that can also be used to identify expected project manager competencies. Research limitations/implications: Only offers written in Polish, downloaded from one websites with job offers, which had the phrase “kierownik projektu” (“project manager”) in their job title, were analyzed. Data was collected from 09 to 11 April 2018 and from 09 to 11 April 2019. Practical implications: The method applied can be used by organizations preparing for the profession of a project manager, to modify and better adapt curricula to the needs of the labor market. Originality/value: Studies have shown that text mining of job offers can, to some extent, help determine the desired project manager competence.
EN
Analyzing User-Generated Content present in social media has become mandatory for companies looking for maintaining competitiveness. These data contain information such as consumer opinions, and recommendations that are seen as rich sources of information for the development of decision support systems. When observing the state of the art, it was found that there is a lack of antecedents that address the analysis of online reviews of Brazilian restaurants. In this sense, the focus of this work is to fill this gap through a case study of Santar\'em city. The results show that professionals in this segment can use these analyzes in order to improve the user's experiences and increase their profits.
EN
The purpose of the work was to analyse publications in the area of Business Intelligence. Only bibliometric data was used in the analysis. The analysis was performed using the R programming language. An attempt was made to determine whether by analysing bibliometric data, it is possible to obtain information on Business Intelligence systems. Aiming at achieving the adopted goal, in the second point of the work, selected information on Business Intelligence systems was presented. The third point presents the manner of collecting data. Further stages of the analysis were also presented. The fourth point contains the results of the conducted research. Among others, the number of publications in individual years and the most common words in titles, abstracts and keywords were presented. Using two topic modelling algorithms, topics were generated that can also be used to identify information related to Business Intelligence systems.
13
Content available remote Similarity detection based on document matrix model and edit distance algorithm
EN
This paper presents a new algorithm with an objective of analyzing the similarity measure between two text documents. Specifically, the main idea of the implemented method is based on the structure of the so-called “edit distance matrix” (similarity matrix). Elements of this matrix are filled with a formula based on Levenshtein distances between sequences of sentences. The Levenshtein distance algorithm (LDA) is used as a replacement for various implementations of stemming or lemmatization methods. Additionally, the proposed algorithm is fast, precise, and may be implemented for analyzing very large documents (e.g., books, diploma works, newspapers, etc.). Moreover, it seems to be versatile for the most common European languages such as Polish, English, German, French and Russian. The presented tool is intended for all employees and students of the university to detect the level of similarity regarding analyzed documents. Results obtained in the paper were confirmed in the tests shown in the article.
EN
Despite the rapid growth of other types of social media, Internet discussion forums remain a highly popular communication channel and a useful source of text data for analyzing user interests and sentiments. Being suited to richer, deeper, and longer discussions than microblogging services, they particularly well reflect topics of long-term, persisting involvement and areas of specialized knowledge or experience. Discovering and characterizing such topics and areas by text mining algorithms is therefore an interesting and useful research direction. This work presents a case study in which selected classification algorithms are applied to posts from a Polish discussion forum devoted to psychoactive substances received from home-grown plants, such as hashish or marijuana. The utility of two different vector text representations is examined: the simple bag of words representation and the more refined embedded global vectors one. While the former is found to work well for the multinomial naive Bayes algorithm, the latter turns out more useful for other classification algorithms: logistic regression, SVMs, and random forests. The obtained results suggest that post-classification can be applied for measuring publication intensity of particular topics and, in the case of forums related to psychoactive substances, for monitoring the risk of drug-related crime.
15
Content available Information management tools for innovation analysts
EN
Innovation management is a knowledge-intensive process that requires dealing with different sources of data to identify relationships between the concepts, techniques, and tools that may led to innovations. Innovation analysts need to handle huge amounts of unstructured information: ideas gathered from internal staff and external partners, research papers and technical reports, patents and applications, etc. All these sources constitute valid inputs to assess the innovativeness of ideas, the feasibility of their implementation, and their potential value in the market. Innovation management discipline has widely used techniques and methods developed in the context of Information Science to support the identification of research trends, assess the outputs of innovation efforts and investments, and monitor the market and the activities made by competitors. The fruitful relationship between Information Science techniques and Innovation management needs to be regularly reviewed as new techniques and tools are designed and made available to the community. In the last years, significant progress has been achieved in areas like scientometrics, text visualization, and opinion mining. This paper provides an overview of these techniques and discusses how they can help professionals involved in innovation programs.
PL
Zarządzanie innowacjami to oparty na wiedzy proces, w którym definiowany jest poziom zależności pomiędzy pomysłami, technikami i narzędziami mogącymi skutkować opracowaniem innowacji. Analityk innowacji musi zarządzać treściami niestrukturalnymi: pomysłami zgromadzonymi od pracowników jak i partnerów, wiedzą pochodzącą z publikacji naukowych i raportów technicznych, patentami i zgłoszeniami patentowymi itp. Wszystkie te źródła stanowią istotny wkład w proces oceny innowacyjności pomysłu, możliwości jego realizacji oraz konkurencyjności rynkowej. W zarządzaniu innowacjami powszechnie stosowane są techniki i metody informatyczne, które wspomagają proces identyfikacji trendów, oceny rezultatów, oszacowania niezbędnych nakładów finansowych czy monitorowania rynku. Oznacza to, że należy regularnie monitorować stan wiedzy i techniki w tym obszarze w celu zapewnienia jak najbardziej owocnej współpracy na styku nauk informatycznych i zarządzania innowacjami. W ostatnich latach znaczący postęp osiągnięto w takich dziedzinach jak naukometria, wizualizacja tekstu i badanie opinii. W artykule dokonano przeglądu tych technik i omówiono sposób, w jaki mogą one wspomóc specjalistów zaangażowanych w realizację innowacyjnych programów.
PL
Artykuł stanowi kontynuację cyklu badań związanych z wykorzystaniem algebraicznych metod identyfikacji słów kluczowych w dokumentach tekstowych. Jego celem jest teoretyczna analiza i empiryczna weryfikacja przydatności użycia metod identyfikacji słów kluczowych opartej na dekompozycji SVD w naukowych tekstach polskojęzycznych.
EN
The article is a continuation of the cycle of studies related to the use of algebraic methods for keywords identification in text documents. Its purpose is to theoretical analysis and empirical verification of the suitability of the use of methods for keywords identification based on SVD decomposition of scientific in Polish texts.
PL
Rozwój społeczeństwa informacyjnego oraz technologii informatycznych pociągnął za sobą w sposób naturalny powstanie zautomatyzowanych systemów wspomagających wyszukiwanie i porządkowanie informacji. W nadmiarze informacji przechowywanych w dokumentach tekstowych dużego znaczenia nabiera możliwość automatycznego identyfikowania słów kluczowych. Artykuł rozpoczyna cykl poświęcony badaniu metod algebraicznych wykorzystywanych do identyfikacji słów kluczowych w polskojęzycznych tekstach naukowych.
EN
Development of the information society and information technology entailed an a natural creation of automated systems supporting find and organize information. Too much information stored in text documents is extremely important to for automatic keywords identification. Article begins a series dedicated to the study of algebraic methods used to for keywords identification in scientific Polish texts.
PL
W opracowaniu przedstawiono aktualnie rozwijane reprezentacje wiedzy i sposoby opisów zdarzeń, dla systemu wnioskowania na podstawie przypadków zdarzeń służb ratowniczych Państwowej Straży Pożarnej PSP. W artykule zaproponowano sposób ich przetwarzania. Przedstawiony sposób bazuje na klasyfikacji i wyszukiwaniu opisów zdarzeń.
EN
This paper describes a review of actual developed knowledge representation and case representation for fire services cases based reasoning system. The article also describes a method of processing the cases of events. This processing method based on classification and information retrieval.
PL
Celem projektu jest zademonstrowanie możliwości budowy wyszukiwarki internetowej na bazie systemu IBM Intelligent Miner for Text. W opracowanej wyszukiwarce SearchSystems zaimplementowano zaawansowane metody analizy leksykalnej, a mianowicie ekspansję poprzez synonimy oraz analizę dźwiękową zapytań. System porównano z wyszukiwarką Google
EN
The aim of the project was to find out how the IBM Intelligent Miner for Text can be used to develop a "Google" - like search machine. The system called SearchSystems has been developed and evaluated based on chosen functions.
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