AI-Powered Chatbot with Sentiment Analysis, Summarization, and Q&A for Business Automation

Year : 2025 | Volume : 12 | Issue : 03 | Page : 01 05
    By

    Mohammadreza Tabatabaei,

  • Shokooh Khandan,

  1. Senior Research Assistant, Department of Computing and Mathematics, Manchester Metropolitan University, Manchester, United Kingdom
  2. AI Specialist, PhD, Department of Computing and Mathematics, Manchester Metropolitan University, Manchester, United Kingdom

Abstract

Artificial Intelligence (AI) chatbots have become increasingly significant in recent years due to their ability to automate a wide range of business operations, improve user interaction, and create more efficient customer support experiences. The development of such systems goes beyond simple rule-based responses and now integrates advanced natural language processing (NLP) techniques to deliver contextually relevant and human-like interactions. This study introduces a chatbot framework that incorporates three major components: sentiment analysis, text summarization, and a question-answering mechanism. Sentiment analysis enables the chatbot to recognize and adapt to the emotional state of users, while text summarization allows it to condense lengthy passages into concise and meaningful representations. The question-answering module enhances the system by providing accurate and direct responses to user queries. Deep learning approaches, including transformer-based models such as BERT, form the backbone of these functionalities. Experimental evaluations show that the chatbot performs effectively in understanding emotions, summarizing information, and addressing user questions with precision. Overall, this research highlights the potential applications of AI-powered conversational agents in diverse fields such as business, healthcare, and education, demonstrating their value as intelligent tools for communication and information management.

Keywords: AI chatbot, natural language processing (NLP), sentiment analysis, business automation

[This article belongs to Journal of Open Source Developments ]

How to cite this article:
Mohammadreza Tabatabaei, Shokooh Khandan. AI-Powered Chatbot with Sentiment Analysis, Summarization, and Q&A for Business Automation. Journal of Open Source Developments. 2025; 12(03):01-05.
How to cite this URL:
Mohammadreza Tabatabaei, Shokooh Khandan. AI-Powered Chatbot with Sentiment Analysis, Summarization, and Q&A for Business Automation. Journal of Open Source Developments. 2025; 12(03):01-05. Available from: https://journals.stmjournals.com/joosd/article=2025/view=232196


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Regular Issue Subscription Original Research
Volume 12
Issue 03
Received 05/08/2025
Accepted 27/09/2025
Published 31/10/2025
Publication Time 87 Days
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