Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Sukru Ozan"'
Publikováno v:
Volume: 17, Issue: 2 137-143
Celal Bayar University Journal of Science
Celal Bayar University Journal of Science
Identifying the authors of a given set of text is a well addressed and complicated task. It requires thorough knowledge of different authors’ writing styles and discriminating them. As the main contribution of this paper, we propose to perform this
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::17ad1f20132a144558d2a840a564c779
https://doi.org/10.18466/cbayarfbe.846016
https://doi.org/10.18466/cbayarfbe.846016
Publikováno v:
2022 30th Signal Processing and Communications Applications Conference (SIU).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e69de6ade1c9b9ae5738bef9e56a0d5d
https://doi.org/10.1109/siu55565.2022.9864728
https://doi.org/10.1109/siu55565.2022.9864728
Publikováno v:
2021 6th International Conference on Computer Science and Engineering (UBMK).
In this study, a natural language processing-based (NLP-based) method is proposed for the sector-wise automatic classification of ad texts created on online advertising platforms. Our data set consists of approximately 21,000 labeled advertising text
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9141e5a78c00c9617736c846dbd4e7b2
https://doi.org/10.1109/ubmk52708.2021.9558966
https://doi.org/10.1109/ubmk52708.2021.9558966
Autor:
Sukru Ozan, D. Emre Tasar
Publikováno v:
SIU
In this study, we aim to find a method to autotag sentences specific to a domain. Our training data comprises short conversational sentences extracted from chat conversations between company's customer representatives and web site visitors. We manual
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7331dba743952120cc01cd6a46dfe032
https://doi.org/10.1109/siu53274.2021.9477994
https://doi.org/10.1109/siu53274.2021.9477994
Autor:
Sukru Ozan
How can a text corpus stored in a customer relationship management (CRM) database be used for data mining and segmentation? In order to answer this question we inherited the state of the art methods commonly used in natural language processing (NLP)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::60a58608fde6656b4e918b1b525b55ee
http://arxiv.org/abs/2106.05160
http://arxiv.org/abs/2106.05160
Autor:
Umut Özdil, Semih Gulum, Sukru Ozan, M. Fatih Akca, Secilay Kutal, D. Emre Tasar, Oguzhan Olmez, Ceren Belhan
The problem of categorizing short speech sentences according to their semantic features with high accuracy is a subject studied in natural language processing. In this study, a data set created with samples classified in 46 different categories was u
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cc0423fb0cdd99bee784d629a1c1ee0d
Autor:
Sukru Ozan, Leonardo O. Iheme
Publikováno v:
2019 11th International Conference on Electrical and Electronics Engineering (ELECO).
In this study, we present the process of designing machine learning models for the detection of call center agent malpractices. Based on the features extracted from audio recordings of a given telephone conversation, appropriate one-class support vec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e42f0d5b823593c01abf982ca7eee933
https://doi.org/10.23919/eleco47770.2019.8990454
https://doi.org/10.23919/eleco47770.2019.8990454
Autor:
Sukru Ozan, Leonardo O. Iheme
Publikováno v:
2019 Innovations in Intelligent Systems and Applications Conference (ASYU).
In the field of digital audio processing, the classification of audio segments is a crucial pre-processing step towards performing more complex tasks such as automatic speech recognition or music genre classification. In our study, we investigate the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6f0657982fbd467cbc5373b9000d22f0
https://doi.org/10.1109/asyu48272.2019.8946441
https://doi.org/10.1109/asyu48272.2019.8946441
Autor:
Leonardo O. Iheme, Sukru Ozan
Publikováno v:
SIU
Customer segmentation is an important method both in customer relationship management literature and software since it directly relates with customer satisfaction of the companies. The most common way to separate customers into two distinct groups is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f390949c50b4b25d44a034ec20dc182d
https://doi.org/10.1109/siu.2019.8806558
https://doi.org/10.1109/siu.2019.8806558
This study presents the development of a voice activity detection (VAD) system tested on call center telephony data obtained from our local site. The concept of bag of audio words (BoAW) combined with a naive Bayes classifier was applied to achieve t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::80570593f7300f5cac1748232bae64ba
https://aperta.ulakbim.gov.tr/record/67391
https://aperta.ulakbim.gov.tr/record/67391