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3 novembre 2021
- ISIDORE Id: 10670/1.b8f614...
- isbn: 978-1-7320408-2-3
- hal: hal-04153038
info:eu-repo/semantics/OpenAccess
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Learning, MachineCiter ce document
Camilo R. Contreras et al., « Brands And Chatbots: An Overview Using Machine Learning », HAL SHS (Sciences de l’Homme et de la Société), ID : 10670/1.b8f614...
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Résumé
As artificial intelligence (AI) and machine learning techniques have evolved to improve Natural Language Processing, human language understanding has enabled human-machine communication tools to be increasingly deployed by brands. Conversational agents or chatbots are among the most widely positioned in recent years of technological evolution, with unprecedented social skills. They have become a cornerstone for supporting brands' interactions with consumers in both digital and physical spaces. Due to the chatbots' massive scientific boom and the relevance, they are gaining for brand management, its practitioners and scholars wake a growing interest in understanding the epistemological map on which this topic is embedded. To discover the main cross-cutting issues, the current and emerging research topics pragmatically. This study proposes using Machine Learning techniques in the scientific production body of this fruitful branch of marketing. Our instruments are twofold; first, we applied Latent Dirichlet Allocation (LDA) to identify eight thematic groups. Second, Dynamic Topic Models (DTM) reveals that the current research streams are oriented to technological advancement. In addition, research on chatbots and brand management is also emerging in two possible directions.
