Chatbot Architecture for a Footwear E-Commerce Scenario
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-38333-5_22
Reference22 articles.
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2. Denny, M., Spirling, A.: Text preprocessing for unsupervised learning: why it matters, when it misleads, and what to do about it. Polit. Anal. 26(2), 168–189 (2018). https://doi.org/10.1017/pan.2017.44
3. El-Ansari, A., Beni-Hssane, A.: Sentiment analysis for personalized chatbots in e-commerce applications. Wirel. Pers. Commun. 129(3), 1623–1644 (2023). https://doi.org/10.1007/s11277-023-10199-5
4. Illescas-Manzano, M., López, N., González, N., Rodríguez, C.: Implementation of chatbot in online commerce, and open innovation. J. Open Innov.: Technol. Market Complex. 7(2), 125 (2021). https://doi.org/10.3390/joitmc7020125. https://www.mdpi.com/2199-8531/7/2/125
5. Khanvilkar, G., Vora, D.: Sentiment analysis for product recommendation using random forest. Int. J. Eng. Technol. (UAE) 7(3), 87–89 (2018). https://doi.org/10.14419/ijet.v7i3.3.14492. http://arxiv.org/abs/1509.02437. https://www.sciencepubco.com/index.php/ijet/article/view/14492
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