2020 International Conference on Engineering Management of Communication and Technology (EMCTECH) 2020
DOI: 10.1109/emctech49634.2020.9261539
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Intelligent Analysis of Technical Support Requests in Service Desk Ticketing Systems

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Cited by 4 publications
(2 citation statements)
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“…Information is extracted from texts using artificial intelligence techniques such as word embedding and convolutional neural networks. The article demonstrates the success of these methods applied to different text sizes [5]. A similar study on demand management and use of NLP technology was also conducted by Subbarao et al Aiming to quickly categorize IT requests, this study proposes an effective technique for systematic demand categorization/classification using machine learning and natural language processing techniques.…”
Section: Introductionmentioning
confidence: 76%
“…Information is extracted from texts using artificial intelligence techniques such as word embedding and convolutional neural networks. The article demonstrates the success of these methods applied to different text sizes [5]. A similar study on demand management and use of NLP technology was also conducted by Subbarao et al Aiming to quickly categorize IT requests, this study proposes an effective technique for systematic demand categorization/classification using machine learning and natural language processing techniques.…”
Section: Introductionmentioning
confidence: 76%
“…Kullanıcının girdiği destek talebi Word2Vec vektör haline getirildikten sonra evrişimsel ağlar ile model oluşturulmuştur. Yapılan testler sonucunda ekipmanla ilgili sorunun hangi nedenle kaynaklandığı otomatik olarak belirlenmiştir [9].…”
Section: Introductionunclassified