Emotion Recognition on Turkish Mobile Operator Turkcell’s Call Center Calls
A fundamental component of human intelligence is the capacity for feeling. In addition to being founded on logic and reason, human conduct is also greatly influenced by the emotions that people experience. For the purpose of this study, we classified one thousand real-life call center client voice d...
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| Format: | Article |
| Language: | English |
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Sakarya University
2024-12-01
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| Series: | Sakarya University Journal of Computer and Information Sciences |
| Subjects: | |
| Online Access: | https://dergipark.org.tr/en/download/article-file/4172634 |
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| _version_ | 1841556373696937984 |
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| author | Tekin Altun Hüseyin Tiryaki Hüseyin Demirci Yüksel Yurtay |
| author_facet | Tekin Altun Hüseyin Tiryaki Hüseyin Demirci Yüksel Yurtay |
| author_sort | Tekin Altun |
| collection | DOAJ |
| description | A fundamental component of human intelligence is the capacity for feeling. In addition to being founded on logic and reason, human conduct is also greatly influenced by the emotions that people experience. For the purpose of this study, we classified one thousand real-life call center client voice data in the Turkish language based on the way they expressed their emotions using text emotion detection. We made use of Ekman's emotional labeling and techniques from the field of artificial intelligence, such as deep learning and other similar methods. |
| format | Article |
| id | doaj-art-ab5482c2d82b4e08acb889848ce25192 |
| institution | Kabale University |
| issn | 2636-8129 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Sakarya University |
| record_format | Article |
| series | Sakarya University Journal of Computer and Information Sciences |
| spelling | doaj-art-ab5482c2d82b4e08acb889848ce251922025-01-07T09:08:00ZengSakarya UniversitySakarya University Journal of Computer and Information Sciences2636-81292024-12-017333834510.35377/saucis...153940928Emotion Recognition on Turkish Mobile Operator Turkcell’s Call Center CallsTekin Altun0https://orcid.org/0009-0000-3956-7942Hüseyin Tiryaki1https://orcid.org/0009-0000-5291-0450Hüseyin Demirci2https://orcid.org/0000-0002-5784-0786Yüksel Yurtay3https://orcid.org/0000-0003-1814-3432Turkcell Global Bilgi Pazarlama Danışmanlık ve Çağrı Servisi Hizmetleri A.Ş.Turkcell Global Bilgi Pazarlama Danışmanlık ve Çağrı Servisi Hizmetleri A.Ş.SAKARYA ÜNİVERSİTESİSAKARYA UNIVERSITYA fundamental component of human intelligence is the capacity for feeling. In addition to being founded on logic and reason, human conduct is also greatly influenced by the emotions that people experience. For the purpose of this study, we classified one thousand real-life call center client voice data in the Turkish language based on the way they expressed their emotions using text emotion detection. We made use of Ekman's emotional labeling and techniques from the field of artificial intelligence, such as deep learning and other similar methods.https://dergipark.org.tr/en/download/article-file/4172634emotion recognitioncall centerdeep learningartificial intelligence |
| spellingShingle | Tekin Altun Hüseyin Tiryaki Hüseyin Demirci Yüksel Yurtay Emotion Recognition on Turkish Mobile Operator Turkcell’s Call Center Calls Sakarya University Journal of Computer and Information Sciences emotion recognition call center deep learning artificial intelligence |
| title | Emotion Recognition on Turkish Mobile Operator Turkcell’s Call Center Calls |
| title_full | Emotion Recognition on Turkish Mobile Operator Turkcell’s Call Center Calls |
| title_fullStr | Emotion Recognition on Turkish Mobile Operator Turkcell’s Call Center Calls |
| title_full_unstemmed | Emotion Recognition on Turkish Mobile Operator Turkcell’s Call Center Calls |
| title_short | Emotion Recognition on Turkish Mobile Operator Turkcell’s Call Center Calls |
| title_sort | emotion recognition on turkish mobile operator turkcell s call center calls |
| topic | emotion recognition call center deep learning artificial intelligence |
| url | https://dergipark.org.tr/en/download/article-file/4172634 |
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