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Future Access Enablers for Ubiquitous and Intelligent Infrastructures. 4th EAI International Conference, FABULOUS 2019, Sofia, Bulgaria, March 28-29, 2019, Proceedings

Research Article

Social Media Cloud Contact Center Using Chatbots

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  • @INPROCEEDINGS{10.1007/978-3-030-23976-3_39,
        author={George Suciu and Adrian Pasat and Teodora Ușurelu and Eduard-Cristian Popovici},
        title={Social Media Cloud Contact Center Using Chatbots},
        proceedings={Future Access Enablers for Ubiquitous and Intelligent Infrastructures. 4th EAI International Conference, FABULOUS 2019, Sofia, Bulgaria, March 28-29, 2019, Proceedings},
        proceedings_a={FABULOUS},
        year={2019},
        month={9},
        keywords={Chatbot Artificial intelligence DII NLP Machine learning},
        doi={10.1007/978-3-030-23976-3_39}
    }
    
  • George Suciu
    Adrian Pasat
    Teodora Ușurelu
    Eduard-Cristian Popovici
    Year: 2019
    Social Media Cloud Contact Center Using Chatbots
    FABULOUS
    Springer
    DOI: 10.1007/978-3-030-23976-3_39
George Suciu,*, Adrian Pasat1,*, Teodora Ușurelu1,*, Eduard-Cristian Popovici2,*
  • 1: Beia Consult International
  • 2: University POLITEHNICA of Bucharest
*Contact email: george@beia.ro, adrian.pasat@beia.ro, teodora.usurelu@beia.ro, eduard.popovici@upb.ro

Abstract

The latest technologies advancement in NLP (Natural Language Processing) solution allows developing innovative tools that enrich customer experience with products and services. Contact Center environments gradually adopted real-time analytics solutions, and latest research is focusing on how to integrate social media channels. Based on the work made in SoMeDi and Speech2Processes projects, we propose an innovative chatbot platform that integrates data mining and sentiment analysis technologies. The aim is to offer insight into customer preferences by using DII (Digital Interaction Intelligence) and assist in mitigating several know issues in Contact Center environments.

Keywords
Chatbot Artificial intelligence DII NLP Machine learning
Published
2019-09-17
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-030-23976-3_39
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