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    Çizge Benzerli?i Yöntemi ile Doküman Siniflandirma
    (Institute of Electrical and Electronics Engineers Inc., 2019) Uçkan T.; Hark C.; Seyyarer E.; Ayata F.; Karci A.
    The classification of the documents is at the beginning of the topics that are studied extensively today. Using text similarity, many areas are used, such as whether citations are quoted elsewhere or the information searched in search engines is fast and accurate. A variety of methods are used while looking for similarities between documents. Similarity measurements are made by two basic methods, word-based and sentence-based, during the comparison of several documents. While word-based similarity measurements are made, many distance measurement methods such as Jaccard, Dice, Cosine similarity are used. In this study, the paragraphs in different documents will be broken down by sentence basis and they will be represented by a graph, and a study will be done on the classification of the documents using Hamming distance measurements by XOR method of neighborhood matrices obtained from these documents. © 2018 IEEE.
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    Extractive Text Summarization via Graph Entropy Çizge Entropi ile Çikarici Metin Özetleme
    (Institute of Electrical and Electronics Engineers Inc., 2019) Hark C.; Uckan T.; Seyyarer E.; Karci A.
    There is growing interest in automatic summarizing systems. This study focuses on a subtractive, general and unsupervised summarization system. It is provided to represent the texts to be summarized with graphs and then graph entropy is used to interpret the structural stability and structural information content on the graphs representing the text files. The performance of the proposed text summarizing approach for the purpose of summarizing the text on the data set of Document Understanding Conference (DUC-2002) including open access texts and summaries of these texts was calculated using the Recall-Oriented Understudy for Gisting Evaluation (ROUGE) evaluation metrics. Experimental processes were repeated for 200 and 400 word abstracts. Experimental results reveale that the proposed text summarizing system performs competitively with competitive methods for different ROUGE metrics. © 2019 IEEE.