A Smart ChatBot for Specialist Domains

Canonico, Roberto; Cozzolino, Giovanni; Ferraro, Antonino; Moscato, Vincenzo; Picariello, Antonio; Sorrentino, Fabio; Sperlí, Giancarlo

doi:10.1007/978-3-030-44038-1_92

Cited by 8 publications

(2 citation statements)

References 15 publications

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“…In the realm of virtual dialog, studies highlight the importance of natural conversation, real-time feedback on nonverbal behavior, and the impact of emotional variables on chatbot believability [27], [28], [96]. Chatbots effectively respond to user queries, offer customization, and integrate with different channels [112], [118], [162]. However, recognizing different accents and pronouncing words accurately remains a challenge.…”

Section: The Potential Of Chatbot In Cultural Heritage Ecosytemsmentioning

confidence: 99%

Evolving Conversations: A Review of Chatbots and Implications in Natural Language Processing for Cultural Heritage Ecosystems

Suryanto,

Wibawa,

Hariyono

et al. 2023

IJRCS

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Chatbot technology, a rapidly growing field, uses Natural Language Processing (NLP) methodologies to create conversational AI bots. Contextual understanding is essential for chatbots to provide meaningful interactions. Still, to date chatbots often struggle to accurately interpret user input due to the complexity of natural language and diverse fields, hence the need for a Systematic Literature Review (SLR) to investigate the motivation behind the creation of chatbots, their development procedures and methods, notable achievements, challenges and emerging trends. Through the application of the PRISMA method, this paper contributes to revealing the rapid and dynamic progress in chatbot technology with NLP learning models, enabling sophisticated and human-like interactions on the trends observed in chatbots over the past decade. The results, from various fields such as healthcare, organization and business, virtual personalities, to education, do not rule out the possibility of being developed in other fields such as chatbots for cultural preservation while suggesting the need for supervision in the aspects of language comprehension bias and ethics of chatbot users. In the end, the insights gained from SLR have the potential to contribute significantly to the advancement of chatbots on NLP as a comprehensive field.

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Section: The Potential Of Chatbot In Cultural Heritage Ecosytemsmentioning

confidence: 99%

Evolving Conversations: A Review of Chatbots and Implications in Natural Language Processing for Cultural Heritage Ecosystems

Suryanto,

Wibawa,

Hariyono

et al. 2023

IJRCS

View full text Add to dashboard Cite

show abstract

“…Not all the features that we aimed to include in the analysis are considered since some hiccups were met given the amount of data and the hardware/software limitations in which we operated [2]. The obtained results can constitute a good starting point for a future, more comprehensive analysis [3][4][5][6] and further exploitation, such as suggestions systems [7,8].…”

Section: Introductionmentioning

confidence: 99%

Analysis of COVID-19 Data

Amato

Cozzolino

Maisto

et al. 2020

Advances on P2P, Parallel, Grid, Cloud and Internet Computing

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A lot of research has been done during the first months of 2020 regarding the Covid-19. Researchers of different fields worked and cooperated to understand the virus better, in order to manage the pandemic and to model its spread. A series of tools have been developed in this sense, but there is a lack of work with regards to what has been developed from the scientific community. We would like to, at least partially, summarise the results obtained so far by analysing some of the published papers on the matter. To achieve such a result, we are going to use different python libraries that allow analysing texts. The entire work has been done with python on the Google Colaboratory platform.

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