Metin Madenciliği ile Shakespeare Külliyatının İncelenmesi

Çelik, Sadullah

doi:10.33206/mjss.561919

Cited by 6 publications

(3 citation statements)

References 10 publications

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“…Metin madenciliği ile analiz edilen metinlerdeki görülmeyen gizli ilişkiler, hipotezler ve trendler tespit edilmeye çalışılır. Metin madenciliğinden, metinleri kategorize etmek, etiketlemek, kümelemek, özetlemek veya metinler içerisindeki kelimelerin frekanslarını belirlemek gibi amaçlar için yararlanılmaktadır (Campesato, 2021;Çeli ̇k, 2020). Metin madenciliği, metin ön işleme, metin dönüştürme, öznitelik seçimi, bilgi keşfi ve analiz aşamalarından oluşmaktadır.…”

Section: Metin Madenciliğiunclassified

Machine Learning in External Auditing: A Theoretical Approach

Faydalı¹,

Solak²

2023

javs

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Bu çalışmada, yapay zekâ ve makine öğrenmesi tekniklerinin muhasebe denetimi alanındaki uygulamaları incelenmektedir. Kapsamlı bir literatür taraması ile muhasebe denetimi alanındaki yapay zekâ ve makine öğrenmesi çalışmaları altı başlık altında organize edilmiş ve sunulmuştur. Denetçi seçimi, denetim görüşü, işletmenin sürekliliği, hile denetimi ve risk yönetimi başlıkları altındaki çalışmalarda kullanılan metotlar, veri setlerinin yapısı ve veri setlerinde yer alan öznitelikler hakkında detaylı bilgi verilmektedir. Muhasebe denetimde metin madenciliği ve doğal dil işleme başlığı altında yer alan çalışmalar sonuçları ile birlikte tartışılmaktadır. Çalışma şu şekilde organize edilmiştir, birinci bölümde yapay zekâ, makine öğrenmesi, öğrenme stratejileri, derin öğrenme ve metin madenciliği hakkında bilgi verilmektedir. İkinci bölümde yedi başlık altında yapay zekanın ve makine öğrenmesinin denetim alanında nasıl uygulamalarda kullanıldığı mevcut literatür ve uygulamadaki yansımalarının ortaya koymak maksadı ile dört büyük denetim firmasının yayınladığı raporlardan yola çıkılarak tartışılmaktadır.

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Section: Metin Madenciliğiunclassified

Machine Learning in External Auditing: A Theoretical Approach

Faydalı¹,

Solak²

2023

javs

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“…Bununla birlikte, metin madenciliğinin potansiyel uygulamaları çok geniştir ve halihazırda pazarlama, sosyal medya analizi ve müşteri hizmetleri gibi çeşitli alanlarda kullanılmaktadır. 41…”

Section: Metin Madenciliğiunclassified

The Analysis of Graduate Studies on Big-Data on Social Media through Text Mining

Çelik

Zeren

2022

Türkiye Araştırmaları Literatür Dergisi

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Texts may contain useful information on many topics. Analyzing texts can help people make better decisions, do more effective work, and access more information. Data obtained from rich sources such as social media constitute big data belonging to these texts. Various methods are employed to understand and interpret these data. Among them, text mining and data analytics are the most widely used techniques. In addition, there may be need for more data than available through structured data to excavate the information contained in a given text data. This article examines graduate theses prepared in Turkey employing big data approach obtained from social media. These studies have been prepared by various departments and hence big data has been examined from various aspects. In this regard, thispaper provides brief summaries of some these theses. The findings reveal that the majority of related theses were written in the field of computer engineering. However, their characteristics differ from each other. While some target the software aspects, others analyze social media information. The next most popular field is the various departments in the field of communications. It has been observed that the number of theses written on big data has increased over the years. This study has applied word analysis on theses written between 2008 and 2022 through the text mining method. The results confirm the congruity of the word distribution in theses to the power law distribution. The overall findings point to the problem of excessive focus in theses.

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“…Data mining is an important phase of extraction of data patterns where various methods used. The aim is to find the relationship between the groups of knowledge that reveal the points and to make researchers able to discover new information that is difficult to obtain [15].…”

Section: Data Miningmentioning

confidence: 99%

Extractive Text Summarization System for News Texts

Horasan

Bilen

2020

International Journal of Applied Mathematics Electronics and Computers

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In today's conditions, it is difficult to obtain information quickly and efficiently due to the size of the data. There are various text documents on the internet and a good extraction algorithm is essential to have the most relevant information from them. Long texts can be boring sometimes. So, readers are eager to get the main idea of the text or any useful information. For this reason, the importance of automatic summarization systems is understood. Text summarization systems can be considered as abstractive summarization or extractive summarization. While abstractive systems produce a summary with new sentences, extractive systems make a selection of sentences from the text used and combine them and present them as a summary. Creating a successful summarization algorithm increases in direct proportion to the success of applying text mining techniques. Text summary systems provide a summary of the text to the user by scoring words and sentences in the main text using various methods and combining high ranked sentences as a result of the process. In this context, many scoring methods have been used. In our study, news data sets are used. The algorithm used is based on extraction and has been evaluated using a taskindependent method. After evaluation, the two highest scores taken are ROUGE-1 with 0.68 score and ROUGE-S with 0.54 score. Through all evaluation steps, Precision, Recall and F-Measure values are also specified to see the steps clearly.

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Metin Madenciliği ile Shakespeare Külliyatının İncelenmesi

Cited by 6 publications

References 10 publications

Machine Learning in External Auditing: A Theoretical Approach

Machine Learning in External Auditing: A Theoretical Approach

The Analysis of Graduate Studies on Big-Data on Social Media through Text Mining

Extractive Text Summarization System for News Texts

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