Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
A Comprehensive Review - Chatbot Using Artificial Intelligence
0
Zitationen
4
Autoren
2025
Jahr
Abstract
Abstract: Artificial intelligence (AI), which has sped up the creation of intelligent conversational systems, or chatbots, has totally changed how people interact with computers. This investigation looks at how AI-powered chatbots are developed, designed, and used in a variety of sectors, such as customer service, healthcare, education, and e-commerce. It highlights how natural language processing (NLP), machine learning (ML), and deep learning techniques are combined to assist chatbots in understanding, interpreting, and effectively responding to consumer requests. The research examines typical frameworks and platforms for chatbot development in addition to language comprehension, emotional intelligence, privacy, and user engagement challenges. Furthermore, the effectiveness and adaptability of chatbots have significantly increased due to recent advancements in generative AI models, such as GPT and BERT. The final section of this paper examines future research directions, emphasizing AI chatbots' potential to create conversational agents that are more human-like, contextually aware, and emotionally intelligent. With the creation of intelligent chatbots that can comprehend and react to natural language, artificial intelligence (AI) has completely changed human–computer interaction. The design and deployment of an AI-based chatbot that mimics human speech in order to deliver prompt, precise, and context-aware responses is the main emphasis of this study. The chatbot interprets user inquiries, extracts pertinent data, and provides insightful responses in real time by utilizing Natural Language Processing (NLP) and Machine Learning (ML) techniques. The solution improves user engagement and conversational accuracy by incorporating deep learning models for entity recognition and intent detection. Additionally, the chatbot's design includes modules for response generation, dialogue management, and data preparation to guarantee dependability and flexibility across a range of disciplines, especially in healthcare applications..
Ähnliche Arbeiten
Proceedings of the 19th International Joint Conference on Artificial Intelligence
2005 · 5.776 Zit.
An Experiment in Linguistic Synthesis with a Fuzzy Logic Controller
1999 · 5.632 Zit.
An experiment in linguistic synthesis with a fuzzy logic controller
1975 · 5.552 Zit.
A FRAMEWORK FOR REPRESENTING KNOWLEDGE
1988 · 4.548 Zit.
Opinion Paper: “So what if ChatGPT wrote it?” Multidisciplinary perspectives on opportunities, challenges and implications of generative conversational AI for research, practice and policy
2023 · 3.313 Zit.