1 Ocak 2018 Konferans bildirisi Açık Erişim

Kalyoncu, Feyzullah; Zeydan, Engin; Yigit, Ibrahim Onuralp; Yildirim, Ahmet

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        "affiliation": "Turk Telekom Labs, Istanbul, Turkey", 
        "name": "Kalyoncu, Feyzullah"
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        "affiliation": "Turk Telekom Labs, Istanbul, Turkey", 
        "name": "Zeydan, Engin"
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      {
        "affiliation": "Turk Telekom Labs, Istanbul, Turkey", 
        "name": "Yigit, Ibrahim Onuralp"
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        "affiliation": "Turk Telekom Labs, Istanbul, Turkey", 
        "name": "Yildirim, Ahmet"
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    "description": "Mobile Network Operators (MNOs) are eager to learn more about complaint behaviour of their subscribers. In this demo, we study topic modeling approach for extracting relevant problems experienced by subscribers of MNOs in Turkey and visualize the topic distributions using LDAvis data analytics tool. For building topic models using Latent Dirchlet Allocation (LDA), we have built customer complaint text dataset of subscriber complaints for each MNOs from Turkey's largest customer complaint website. The proposed analysis tool can be used as customer complaint analysis service by MNOs in Turkey to gain more insight. We have also validated our generated topic model using another dataset obtained from Turkey's largest online community website. Our results indicate similar and dissimilar topics of complaints as well as some of the distinctive problems of MNOs in Turkey based on their subscriber's experiences and feedback.", 
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      "title": "2018 IEEE/ACM INTERNATIONAL CONFERENCE ON ADVANCES IN SOCIAL NETWORKS ANALYSIS AND MINING (ASONAM)"
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    "publication_date": "2018-01-01", 
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    "title": "A Customer Complaint Analysis Tool for Mobile Network Operators"
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