DACS Dewey index-based Arabic Document Categorization System

Alajmi, A. F.; Saad, E. M.; Awadalla, Medhat

doi:10.5120/7500-0634

Cited by 3 publications

(2 citation statements)

References 20 publications

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“…Stop Words are words that have no semantic relationship with the context in which they are located. Therefore, they should not be included as indexing terms (Alajmi et al, 2012). Thus, Stop Words, which is a basic tool in the text mining process, is the process of removing frequently used words from the texts during data preprocessing.…”

Section: Discussionmentioning

confidence: 99%

Analysis of the Reflections of Violence Against Healthcare Workers in the Media Using Text Mining Method

DÖKME,

TÜRKDOĞAN GÖRGÜN,

AKYÜREK

2023

PAUSBED

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One of the important communication channels today, news can inform and manipulate individuals. In order to reveal the public reflections of violence in health care, which is one of the important problems encountered in the health system in Turkey, the news on the subject were examined in detail within this study. The scope of the research consists of 946 news reports from the top five newspapers with the highest circulation (Hürriyet, Sabah, Sözcü, Milliyet and Posta). Web mining was used to obtain the data. In the analysis of the data, word clouds, time graphs and trigram were created using text mining method. In addition, using manual content analysis, the news reports were classified under some basic headings. It was determined that the most frequently used common words in the news headlines, abstracts and contents were "health", "violence", "doctor" and "hospital". When examined in terms of content, it was emphasized in the news that violence in health care occurred mostly in hospitals and emergency departments, violence was committed mostly by patient relatives and patients, the group most exposed to violence was physicians, and violence usually resulted in injury. It is thought that these findings will be beneficial in terms of contributing to the accurate determination of the issues to be prioritized in policy-making processes.

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Section: Discussionmentioning

confidence: 99%

Analysis of the Reflections of Violence Against Healthcare Workers in the Media Using Text Mining Method

DÖKME,

TÜRKDOĞAN GÖRGÜN,

AKYÜREK

2023

PAUSBED

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“…We want to clarify some concepts to provide an autonomous document as much as possible. Empty words (a.k.a stop words) are those words that have no significant semantic relation to the context in which they exist (Alajmi et al , 2012). Since empty words do not provide meaning to a sentence, they should be deleted from the text.…”

Section: Methodsmentioning

confidence: 99%

What does the media tell us about a destination? The Cancun case, seen from the USA, Canada, and Mexico

Olmos-Martínez

Álvarez‐Carmona²,

Aranda³

et al. 2023

IJTC

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Purpose This study aims to present a framework for automatically collecting, cleaning and analyzing text (news articles, in this case) to provide valuable decision-making information to destination management organizations. Keeping a record of certain aspects of the projected destination image of an attraction (Cancun in this study) will grant the design of better strategies for the promotion and administration of destinations without the time-consuming effort of manually evaluating high quantities of textual information. Design/methodology/approach Using Web scraping, news articles were collected from the USA, Mexico and Canada over an interval of one year. The documents were analyzed using an automatic topic modeling method known as Latent Dirichlet Allocation and a coherence analysis to determine the number of themes present in each collection. With the data provided, the authors were able to extract valuable information to understand how Cancun is presented to the countries. Findings It was found that in all countries, Cancun is an important destination to travel and vacation; however, given the period defined for this study (from July 2021 to July 2022), an important part of the articles analyzed was concerned with the sanitary measures derived from the COVID-19 pandemic. Besides, given the rise of violence and the threat of organized crime, many articles from the three countries are focused on warning potential tourists about the risks of traveling to Cancun. Originality/value The examination of the relevant literature revealed that similar analyses are manually performed by the experts on a set of predefined categories. Although those approaches are methodologically sound, the logistic effort and the time used could become prohibitively expensive, precluding carrying out this analysis frequently. Additionally, the preestablished categories to be studied in press articles may distort the results. For these reasons, the proposed framework automatically allows for gathering valuable information for decision-making in an unbiased manner.

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