9 research outputs found
The Impact of Text Representation and Preprocessing on Author Identification
No full textAuthor identification, one of the popular topics in text classification and natural language processing, basically aims to determine the author of a given text through various analyses. In the literature, different text representation approaches and use of preprocessing steps are considered for author identification problem. This paper aims to comprehensively examine the impact of text representation and preprocessing steps on author identification specifically for Turkish language. For this purpose, the contributions of all possible combinations of different text representation approaches, namely unigram and bigram, together with the preprocessing tasks, including stemming and stop-word removal, to the performance of author identification are investigated. For the experimental evaluation, a brand new dataset is constituted. Also, two different classification algorithms, namely Multinomial Naive Bayes and Sequential Minimal Optimization, are employed. The results of the experimental analysis reveal that using bigram features alone should be avoided. Besides, it is shown that stop-words should be kept inside the text while stemming can be preferred depending on the classification algorithm so that higher performance can be achieved for author identification.Author identification, one of the popular topics in text classification and natural language processing, basically aims to determine the author of a given text through various analyses. In the literature, different text representation approaches and use of preprocessing steps are considered for author identification problem. This paper aims to comprehensively examine the impact of text representation and preprocessing steps on author identification specifically for Turkish language. For this purpose, the contributions of all possible combinations of different text representation approaches, namely unigram and bigram, together with the preprocessing tasks, including stemming and stop-word removal, to the performance of author identification are investigated. For the experimental evaluation, a brand new dataset is constituted. Also, two different classification algorithms, namely Multinomial Naive Bayes and Sequential Minimal Optimization, are employed. The results of the experimental analysis reveal that using bigram features alone should be avoided. Besides, it is shown that stop-words should be kept inside the text while stemming can be preferred depending on the classification algorithm so that higher performance can be achieved for author identification
Sentiment Classification based on Domain Prediction
No full textSentiment classification has received increasing attention in recent years. Supervised learning methods for sentiment classification require considerable amount of labeled data for training purposes. As the number of domains increases, the task of collecting data becomes impractical. Therefore, domain adaptation techniques are employed. However, most of the studies dealing with the domain adaptation problem demand a few amount of labeled data or lots of unlabeled data belonging to the target domain, which may not be always possible. In this work, a novel method for sentiment classification, which does not require labeled and/or unlabeled data from the target domain, is proposed. The propose method mainly consists of two stages. At first, the target domain is predicted even if it is not among the source domains in hand. Then, sentiment is classified as either positive or negative using the sentiment classifier specifically trained for the predicted domain. Extensive experimental analysis on two different datasets with distinct languages and domains verifies that the proposed method is superior to the domain independent sentiment classification approach at each case considered
Metinlerde duygu analizi ve sınıflandırma için yeni yöntemler
No full textTez (yüksek lisans) - Anadolu ÜniversitesiAnadolu Üniversitesi, Fen Bilimleri Enstitüsü, Bilgisayar Mühendisliği Anabilim DalıKayıt no: 383634Duygu analizi, yazılı bir metin içerisinde, yazarın belirli bir konu hakkındaki duygu ve düşüncesinin analiz edilmesini, duygu sınıflandırma ise duygunun pozitif ve negatif olarak sınıflandırılmasını amaçlar. Duygu sınıflandırma için kullanılan gözetimli öğrenme metotları, sınıflandırıcının eğitimi için çok sayıda etiketli veriye ihtiyaç duymaktadır. Bununla birlikte, alan bağımlı bir problem olan duygu sınıflandırma probleminde başarılı bir sınıflandırma yapılabilmesi için her alana özgü eğitim verisinin toplanması gerekmektedir. Ancak bu işlem zaman alıcı ve maliyetli bir işlem olmaktadır. Alanı bilinmeyen bir metin sınıflandırılmak istendiğinde ise alana ait etiketli veya etiketsiz veri toplamak mümkün olmamaktadır. Problemin çözümü için bu tez çalışmasında, alan sınıflandırma temelli duygu sınıflandırma yaklaşımı önerilmiştir. İki aşamadan oluşan yaklaşımın ilk aşamasında, alanı bilinmeyen metnin, etiketli verisi olan mevcut alanlardan hangisine dâhil edilebileceği bulunmakta, ikinci aşamada ise metin, dâhil edildiği alana ait duygu sınıflandırıcı kullanılarak sınıflandırılmaktadır. Deneysel çalışmalarda, metnin alanının mevcut alanlar içerisinde bulunması ve bulunmaması durumu analiz edilmiştir. Bu amaçla, Türkçe ve İngilizce metinler içeren iki ayrı veri kümesi kullanılmıştır. Önerilen yaklaşım sayesinde, beklenen sonuçlara yakın ve bazen de üzerinde bir sınıflandırma başarımı elde edilmiştir. Ayrıca, yaklaşımın her iki dil için de kullanılabilir olduğu doğrulanmıştır
Multi-criteria collaborative filtering using rough sets theory
No full textRecommender systems have recently become a significant part of e-commerce applications. Through the different types of recommender systems, collaborative filtering is the most popular and successful recommender system for providing recommendations. Recent studies have shown that using multi-criteria ratings helps the system to know the customers better. However, bringing multi aspects to collaborative filtering causes new challenges such as scalability and sparsity. Additionally, revealing the relation between criteria is yet another optimization problem. Hence, increasing the accuracy in prediction is a challenge. In this paper, an aggregation-function based multi-criteria collaborative filtering system using Rough Sets Theory is proposed as a novel approach. Rough Sets Theory is used to uncover the relationship between the overall criterion and the individual criteria. Experimental results show that the proposed model (RoughMCCF) successfully improves the predictive accuracy without compromising on online performance
Correction to:Investigating recurrence in pilonidal sinus disease: results of a nationwide, multicenter study in Turkey (PISI TURKEY) (International Journal of Colorectal Disease, (2025), 40, 1, (194), 10.1007/s00384-025-04921-x)
No full textThe collaborative Author names are missing in the published proof. The Supplementary material is updated with 2 additional names in the collaborative Author’s list. Ali Yalcinkaya, Ahmet Yalcinkaya, Sezai Leventoglu, Bengi Balci, Alp Ozgun Borcek, Elif Ozeller, Ece Ozturk, Gulsum Sueda Kayacan, Berkay Enes Karaca, Ahmet Faruk Oyanik, Omer Faruk Gul, Basak Bolukbasi, Huseyin Gobut, Cagri Buyukkasap, Aydin Yavuz, Dara Aydin, Zeynep Akdagcik, Alina Pataeva, Douigou Hasan, Omar Hussein, Arda Ozgur Ozturk, Cem Arda Elumar, Ali Derman Dere, Asra Zeynep Balci, Rasim Ozturk, Yasar Copelci, Murat Kartal, Serkan Tayar, Mustafa Yeni, Tolga Kalayci, Ramazan Yavuz, Bulent Calik, Semra Demirli Atici, Selen Ozturk, Gizem Kilinc, Korhan Tuncer, Cengiz Aydin, Mustafa Yener Uzunoglu, Alp Yildiz, Aybala Yildiz, Can Sahin, Mehmet Caglikulekci, Elbrus Zarbaliyev, Murat Sevmis, Baris Sevinc, Nurullah Damburaci, Omer Karahan, Ozgen Isik, Said Kural, Xhenet Hysejni, Ahmet Aktas, Baris Yildiz, Gultekin Ozan Kucuk, Ahmet Can Sari, Mert Candan, Mehmet Mahir Ozmen, Cem Emir Guldogan, Emre Gundogdu, Munevver Moran, Mevlut Recep Pekcici, Saygin Altiner, Enes Cebeci, Tugba Yigit, Bedri Burak Sucu, Mert Col, Omer Faruk, Ozkan Hanife, Seyda Ulgur, Murat Kalin, Emre Furkan Kirkan, Abdullah Yildiz, Sema Yukseksag, Cagri Buyukkasap, Erdinc Kamer, Mesut Ozogul, Nihan Acar, Melek Gokova Bekler, Arif Atay, Halis Bag, Server Sezgin Uludag, Ahmet Necati Sanli, Sefa Ergun, Ergin Erginoz, Veysi Basbayandur, Mehmet Faik Ozcelik, Ahmet Askar, Yuksel Altinel, Adnan Hacim, Serhat Meric, Merve Tokocin, Talar Aktokmakyan, Yunus Aktimur, Kamil Ozdogan, Fikret Calikoglu, Tugba Koc Calikoglu, Ahmet Barcin, Ahmed Salhat, Guray Durmaz, Volkan Ozben, Erman Aytac, Zumrud Aliyeva, Arda Ulas Mutlu, Mert Tanal, Mustafa Fevzi Celayir, Aydin Eray, Tufan Ali Yuksel, Elif Baran, Banu Yigit, Erhan Eroz, Aykhan Abbasov, Hakan Yanar, Huseyin Onur Aydin, Murathan Erkent, Tugan Tezcaner, Tevfik Avci, Murat Kus, Mehmet Abdussamet Bozkurt, Adem Ozcan, Nezihe Berrin Dodur Onalan, Serhan Yilmaz, Yasin Kara, Ali Kocatas, Fatih Yanar, Ali Fuat Kaan Gok, Irem Karatas, Berke Sengun, Ilknur Erenler Bayraktar, Onur Bayraktar, Zulal Emsal, Irem Dalkilic, Cengiz Dibekoglu, Sami Acar, Erman Ciftci, Yunus Yapalak, Cihad Tatar, Mert Mahsuni Sevinc, Ali Emre Nayci, Egemen Saygili, Yavuz Selim Komek, Bayram Kaymak, Fatih Altintoprak, Emrah Akin, Necattin Firat, Emre Gonullu, Ugur Can Dulger, Atilla Kurt, Sinan Soylu, Musa Serin, Omer Topcu, Ali Cihat Yildirim, Mehmet Fatih Ekici, Sezgin Zeren, Ismail Ahmet Bilgin, Tayfun Karahasanoglu, Ismail Hamzaoglu, Afag Aghayeva, Bilgi Baca, Inci Sahin, Osman Bozbiyik, Mustafa Ozgur Kilincarslan, Mustafa Ali Korkut, Erhan Akgun, Cemil Caliskan, Tayfun Yoldas, Timucin Erol, Hilmi Anil Dincer, Omer Cennet, Muhammed Salih Suer, Muhammet Bunyamin Dalkilic, Ibrahim Alkan, Busenur Kirimtay, Emre Balik, Emre Ozoran, Ibrahim Halil Ozata, Derya Salim Uymaz, Tutku Tufekci, Salih Nafiz Karahan, Orhan Agcaoglu, Naciye Cigdem Arslan, Mehmet Yilmaz, Orhan Ureyen, Can Murat Kale, Enver Ilhan, Eray Kara, Semra Tutcu Sahin, Onur Haspolat, Alperen Dalkiran, Ergun Yuksel, Mehmet Kocaoglu, Omer Tasan, Cevdet Tokat, Cihan Ozen, Alptug Mertcan Koc The Original article has been corrected.</p
Correction to:Investigating recurrence in pilonidal sinus disease: results of a nationwide, multicenter study in Turkey (PISI TURKEY)
No full textThe collaborative Author names are missing in the published proof. The Supplementary material is updated with 2 additional names in the collaborative Author’s list. Ali Yalcinkaya, Ahmet Yalcinkaya, Sezai Leventoglu, Bengi Balci, Alp Ozgun Borcek, Elif Ozeller, Ece Ozturk, Gulsum Sueda Kayacan, Berkay Enes Karaca, Ahmet Faruk Oyanik, Omer Faruk Gul, Basak Bolukbasi, Huseyin Gobut, Cagri Buyukkasap, Aydin Yavuz, Dara Aydin, Zeynep Akdagcik, Alina Pataeva, Douigou Hasan, Omar Hussein, Arda Ozgur Ozturk, Cem Arda Elumar, Ali Derman Dere, Asra Zeynep Balci, Rasim Ozturk, Yasar Copelci, Murat Kartal, Serkan Tayar, Mustafa Yeni, Tolga Kalayci, Ramazan Yavuz, Bulent Calik, Semra Demirli Atici, Selen Ozturk, Gizem Kilinc, Korhan Tuncer, Cengiz Aydin, Mustafa Yener Uzunoglu, Alp Yildiz, Aybala Yildiz, Can Sahin, Mehmet Caglikulekci, Elbrus Zarbaliyev, Murat Sevmis, Baris Sevinc, Nurullah Damburaci, Omer Karahan, Ozgen Isik, Said Kural, Xhenet Hysejni, Ahmet Aktas, Baris Yildiz, Gultekin Ozan Kucuk, Ahmet Can Sari, Mert Candan, Mehmet Mahir Ozmen, Cem Emir Guldogan, Emre Gundogdu, Munevver Moran, Mevlut Recep Pekcici, Saygin Altiner, Enes Cebeci, Tugba Yigit, Bedri Burak Sucu, Mert Col, Omer Faruk, Ozkan Hanife, Seyda Ulgur, Murat Kalin, Emre Furkan Kirkan, Abdullah Yildiz, Sema Yukseksag, Cagri Buyukkasap, Erdinc Kamer, Mesut Ozogul, Nihan Acar, Melek Gokova Bekler, Arif Atay, Halis Bag, Server Sezgin Uludag, Ahmet Necati Sanli, Sefa Ergun, Ergin Erginoz, Veysi Basbayandur, Mehmet Faik Ozcelik, Ahmet Askar, Yuksel Altinel, Adnan Hacim, Serhat Meric, Merve Tokocin, Talar Aktokmakyan, Yunus Aktimur, Kamil Ozdogan, Fikret Calikoglu, Tugba Koc Calikoglu, Ahmet Barcin, Ahmed Salhat, Guray Durmaz, Volkan Ozben, Erman Aytac, Zumrud Aliyeva, Arda Ulas Mutlu, Mert Tanal, Mustafa Fevzi Celayir, Aydin Eray, Tufan Ali Yuksel, Elif Baran, Banu Yigit, Erhan Eroz, Aykhan Abbasov, Hakan Yanar, Huseyin Onur Aydin, Murathan Erkent, Tugan Tezcaner, Tevfik Avci, Murat Kus, Mehmet Abdussamet Bozkurt, Adem Ozcan, Nezihe Berrin Dodur Onalan, Serhan Yilmaz, Yasin Kara, Ali Kocatas, Fatih Yanar, Ali Fuat Kaan Gok, Irem Karatas, Berke Sengun, Ilknur Erenler Bayraktar, Onur Bayraktar, Zulal Emsal, Irem Dalkilic, Cengiz Dibekoglu, Sami Acar, Erman Ciftci, Yunus Yapalak, Cihad Tatar, Mert Mahsuni Sevinc, Ali Emre Nayci, Egemen Saygili, Yavuz Selim Komek, Bayram Kaymak, Fatih Altintoprak, Emrah Akin, Necattin Firat, Emre Gonullu, Ugur Can Dulger, Atilla Kurt, Sinan Soylu, Musa Serin, Omer Topcu, Ali Cihat Yildirim, Mehmet Fatih Ekici, Sezgin Zeren, Ismail Ahmet Bilgin, Tayfun Karahasanoglu, Ismail Hamzaoglu, Afag Aghayeva, Bilgi Baca, Inci Sahin, Osman Bozbiyik, Mustafa Ozgur Kilincarslan, Mustafa Ali Korkut, Erhan Akgun, Cemil Caliskan, Tayfun Yoldas, Timucin Erol, Hilmi Anil Dincer, Omer Cennet, Muhammed Salih Suer, Muhammet Bunyamin Dalkilic, Ibrahim Alkan, Busenur Kirimtay, Emre Balik, Emre Ozoran, Ibrahim Halil Ozata, Derya Salim Uymaz, Tutku Tufekci, Salih Nafiz Karahan, Orhan Agcaoglu, Naciye Cigdem Arslan, Mehmet Yilmaz, Orhan Ureyen, Can Murat Kale, Enver Ilhan, Eray Kara, Semra Tutcu Sahin, Onur Haspolat, Alperen Dalkiran, Ergun Yuksel, Mehmet Kocaoglu, Omer Tasan, Cevdet Tokat, Cihan Ozen, Alptug Mertcan Koc The Original article has been corrected.</p
Correction to:Investigating recurrence in pilonidal sinus disease: results of a nationwide, multicenter study in Turkey (PISI TURKEY)
No full textThe collaborative Author names are missing in the published proof. The Supplementary material is updated with 2 additional names in the collaborative Author’s list. Ali Yalcinkaya, Ahmet Yalcinkaya, Sezai Leventoglu, Bengi Balci, Alp Ozgun Borcek, Elif Ozeller, Ece Ozturk, Gulsum Sueda Kayacan, Berkay Enes Karaca, Ahmet Faruk Oyanik, Omer Faruk Gul, Basak Bolukbasi, Huseyin Gobut, Cagri Buyukkasap, Aydin Yavuz, Dara Aydin, Zeynep Akdagcik, Alina Pataeva, Douigou Hasan, Omar Hussein, Arda Ozgur Ozturk, Cem Arda Elumar, Ali Derman Dere, Asra Zeynep Balci, Rasim Ozturk, Yasar Copelci, Murat Kartal, Serkan Tayar, Mustafa Yeni, Tolga Kalayci, Ramazan Yavuz, Bulent Calik, Semra Demirli Atici, Selen Ozturk, Gizem Kilinc, Korhan Tuncer, Cengiz Aydin, Mustafa Yener Uzunoglu, Alp Yildiz, Aybala Yildiz, Can Sahin, Mehmet Caglikulekci, Elbrus Zarbaliyev, Murat Sevmis, Baris Sevinc, Nurullah Damburaci, Omer Karahan, Ozgen Isik, Said Kural, Xhenet Hysejni, Ahmet Aktas, Baris Yildiz, Gultekin Ozan Kucuk, Ahmet Can Sari, Mert Candan, Mehmet Mahir Ozmen, Cem Emir Guldogan, Emre Gundogdu, Munevver Moran, Mevlut Recep Pekcici, Saygin Altiner, Enes Cebeci, Tugba Yigit, Bedri Burak Sucu, Mert Col, Omer Faruk, Ozkan Hanife, Seyda Ulgur, Murat Kalin, Emre Furkan Kirkan, Abdullah Yildiz, Sema Yukseksag, Cagri Buyukkasap, Erdinc Kamer, Mesut Ozogul, Nihan Acar, Melek Gokova Bekler, Arif Atay, Halis Bag, Server Sezgin Uludag, Ahmet Necati Sanli, Sefa Ergun, Ergin Erginoz, Veysi Basbayandur, Mehmet Faik Ozcelik, Ahmet Askar, Yuksel Altinel, Adnan Hacim, Serhat Meric, Merve Tokocin, Talar Aktokmakyan, Yunus Aktimur, Kamil Ozdogan, Fikret Calikoglu, Tugba Koc Calikoglu, Ahmet Barcin, Ahmed Salhat, Guray Durmaz, Volkan Ozben, Erman Aytac, Zumrud Aliyeva, Arda Ulas Mutlu, Mert Tanal, Mustafa Fevzi Celayir, Aydin Eray, Tufan Ali Yuksel, Elif Baran, Banu Yigit, Erhan Eroz, Aykhan Abbasov, Hakan Yanar, Huseyin Onur Aydin, Murathan Erkent, Tugan Tezcaner, Tevfik Avci, Murat Kus, Mehmet Abdussamet Bozkurt, Adem Ozcan, Nezihe Berrin Dodur Onalan, Serhan Yilmaz, Yasin Kara, Ali Kocatas, Fatih Yanar, Ali Fuat Kaan Gok, Irem Karatas, Berke Sengun, Ilknur Erenler Bayraktar, Onur Bayraktar, Zulal Emsal, Irem Dalkilic, Cengiz Dibekoglu, Sami Acar, Erman Ciftci, Yunus Yapalak, Cihad Tatar, Mert Mahsuni Sevinc, Ali Emre Nayci, Egemen Saygili, Yavuz Selim Komek, Bayram Kaymak, Fatih Altintoprak, Emrah Akin, Necattin Firat, Emre Gonullu, Ugur Can Dulger, Atilla Kurt, Sinan Soylu, Musa Serin, Omer Topcu, Ali Cihat Yildirim, Mehmet Fatih Ekici, Sezgin Zeren, Ismail Ahmet Bilgin, Tayfun Karahasanoglu, Ismail Hamzaoglu, Afag Aghayeva, Bilgi Baca, Inci Sahin, Osman Bozbiyik, Mustafa Ozgur Kilincarslan, Mustafa Ali Korkut, Erhan Akgun, Cemil Caliskan, Tayfun Yoldas, Timucin Erol, Hilmi Anil Dincer, Omer Cennet, Muhammed Salih Suer, Muhammet Bunyamin Dalkilic, Ibrahim Alkan, Busenur Kirimtay, Emre Balik, Emre Ozoran, Ibrahim Halil Ozata, Derya Salim Uymaz, Tutku Tufekci, Salih Nafiz Karahan, Orhan Agcaoglu, Naciye Cigdem Arslan, Mehmet Yilmaz, Orhan Ureyen, Can Murat Kale, Enver Ilhan, Eray Kara, Semra Tutcu Sahin, Onur Haspolat, Alperen Dalkiran, Ergun Yuksel, Mehmet Kocaoglu, Omer Tasan, Cevdet Tokat, Cihan Ozen, Alptug Mertcan Koc The Original article has been corrected.</p
