Filippo Florindi, Pasquale Fedele, Giovanna Maria Dimitri
{"title":"A novel solution for the development of a sentimental analysis chatbot integrating ChatGPT","authors":"Filippo Florindi, Pasquale Fedele, Giovanna Maria Dimitri","doi":"10.1007/s00779-024-01824-6","DOIUrl":null,"url":null,"abstract":"<p>In today’s business landscape, Chatbots play a pivotal role in innovation and process optimization. In this paper, we introduced a novel advanced Emotional Chatbot AI, introducing sentiment analysis for human chatbot conversations. Adding an emotional component within the human-computer interaction, can in fact dramatically improve the quality of the final conversation between Chatbots and humans. More specifically, in our paper, we provided a practical evaluation of the EmoROBERTA software, introducing it into a novel implementation of an Emotional Chatbot. The pipeline we present is novel, and we developed it within a business context in which the use of sentimental and emotional responses can act in a significant and fundamental way toward the final success and use of the Chatbot itself. The architecture enriches user experience with real-time updates on the topic of interest, maintaining a user-centric design, toward an affective-response enhancement of the interaction established between the Chatbot and the user. The source code is fully available on GitHub: https://github.com/filippoflorindi/F-One.</p>","PeriodicalId":54628,"journal":{"name":"Personal and Ubiquitous Computing","volume":"73 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Personal and Ubiquitous Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1007/s00779-024-01824-6","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"Social Sciences","Score":null,"Total":0}
引用次数: 0
Abstract
In today’s business landscape, Chatbots play a pivotal role in innovation and process optimization. In this paper, we introduced a novel advanced Emotional Chatbot AI, introducing sentiment analysis for human chatbot conversations. Adding an emotional component within the human-computer interaction, can in fact dramatically improve the quality of the final conversation between Chatbots and humans. More specifically, in our paper, we provided a practical evaluation of the EmoROBERTA software, introducing it into a novel implementation of an Emotional Chatbot. The pipeline we present is novel, and we developed it within a business context in which the use of sentimental and emotional responses can act in a significant and fundamental way toward the final success and use of the Chatbot itself. The architecture enriches user experience with real-time updates on the topic of interest, maintaining a user-centric design, toward an affective-response enhancement of the interaction established between the Chatbot and the user. The source code is fully available on GitHub: https://github.com/filippoflorindi/F-One.
期刊介绍:
Personal and Ubiquitous Computing publishes peer-reviewed multidisciplinary research on personal and ubiquitous technologies and services. The journal provides a global perspective on new developments in research in areas including user experience for advanced digital technologies, the Internet of Things, big data, social technologies and mobile and wearable devices.