Abstract
The aim of this paper is to present an innovative way for assisting beekeepers during the process of taking care of their apiary based on text mining and deep learning. To reach this goal, we propose an innovative social media Chatbot called ApiSoft. This system is able to extract relevant information by processing data from different sources like social media, web, data provided by expert and our applications embedded on the beekeepers’ smartphone. Once data are collected, ApiSoft can send alerts, information and pieces of advice about the state of apiaries to all subscribers according to their specific interests. We believe that this approach will not only lead to a better monitoring of production but will also allow an enhanced monitoring of the sector at regional and national level.
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Latioui, Z.E., Bougueroua, L., Moretto, A. (2020). Social Media Chatbot System - Beekeeping Case Study. In: Madureira, A., Abraham, A., Gandhi, N., Varela, M. (eds) Hybrid Intelligent Systems. HIS 2018. Advances in Intelligent Systems and Computing, vol 923. Springer, Cham. https://doi.org/10.1007/978-3-030-14347-3_29
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DOI: https://doi.org/10.1007/978-3-030-14347-3_29
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