Home / Current Issue / Paper 1705011
Conversational AI Unleashed: A Comprehensive Review of NLP-Powered Chatbot Platforms
Subject area: Science,Engineering and Technology · Area of research: Natural Language Processing, AI
Abstract
Recent advancements in Natural Language Processing (NLP) have drastically changed how people and computers communicate. This beginner-oriented research article explores NLP-based chat platforms, investigating how they work, what they can do, and the challenges they face. The study looks at modern techniques for creating chatbots, including rule-based systems, generative models, and retrieval methods. It dives into the technologies driving these platforms, like pre-trained language models and context management. Ethical concerns like bias and privacy are also covered. The article examines how these chat platforms affect fields like customer service, healthcare, education, and entertainment. By summarizing existing research, the article highlights current trends and future possibilities in NLP-based chat systems, offering insights to newcomers and interested parties.
Keywords
Natural Language Processing (NLP), Chat platforms, Conversational systems, Chatbots, Pre-trained language models, Human-computer interaction, Ethical considerations, User engagement.
How to cite this paper
@article{1705011,
author = {Shubham Chaurasia, Shubha Jain, Hari Om Vishwkarma, Nishant Singh},
title = {Conversational AI Unleashed: A Comprehensive Review of NLP-Powered Chatbot Platforms},
journal = {Iconic Research And Engineering Journals},
year = {2023},
volume = {7},
number = {3},
pages = {1-8},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1705011.pdf},
abstract = {Recent advancements in Natural Language Processing (NLP) have drastically changed how people and computers communicate. This beginner-oriented research article explores NLP-based chat platforms, investigating how they work, what they can do, and the challenges they face. The study looks at modern techniques for creating chatbots, including rule-based systems, generative models, and retrieval methods. It dives into the technologies driving these platforms, like pre-trained language models and context management. Ethical concerns like bias and privacy are also covered. The article examines how these chat platforms affect fields like customer service, healthcare, education, and entertainment. By summarizing existing research, the article highlights current trends and future possibilities in NLP-based chat systems, offering insights to newcomers and interested parties.},
keywords = {Natural Language Processing (NLP), Chat platforms, Conversational systems, Chatbots, Pre-trained language models, Human-computer interaction, Ethical considerations, User engagement.},
month = {September},
}