News Article Analysis Chatbot using Generative AI

The News Analysis Chatbot provides insightful analysis on current events through the generative AI, thus realizing real-time summaries, in-depth analyses of detailed data, and even the perspectives of most matters with all fairness to every aspect concerned. A new tool that ensures you are in the know about current happenings such that you acquire a comprehensive understanding of issues that might otherwise become quagmired. From the generative AI powered analysis of news articles, a changing and intelligent solution for the ability to analyze news content and summarize it. Due to the nature of the advanced NLP techniques used by the chatbot, it is capable of reading and understanding the articles, spotting the main ideas, extracting insights, producing and summarizing user preferences. This will enable users to extract coherent, up-to-the-minute summaries of either lengthy or complicated news articles within an extremely short amount of time. It allows the chatbot to move out of static response spaces by having an interactive discussion about the news, answering follow-up questions, providing context, and offering critical analysis. It can even compare articles within related topics, hint at trends, and even suggest additional readings to enrich the user’s understanding of events. Additionally, it learns the interest of the individual, suggesting articles based on previous interactions. We have introduced the News Research Tool, which is able to extract and process news articles via large language models (LLM). The software takes multiple news article URLs to analyze the news content and an open number of specific questions of the input articles. We deploy Streamlit to design an intuitively-operational user interface and to store the application. We utilize FAISS and a stream to tackle vector-based retrieval and Hugging Face embeddings to let search capture the most relevant context. Lastly, Streamlit Cloud hosts that we deploy our app so that it is accessible as a web application.

Authors

Publication Details

Published
2025-03-28
DOI
https://doi.org/10.1109/icdsaai65575.2025.11011606
Citations
2
Primary Topic
AI in Service Interactions
Type
article
Field-Weighted Citation Impact
4.96
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article

News Article Analysis Chatbot using Generative AI

Vaishali Baviskar, Tejas Sabale, Prasad Jachak, Chaitanya Tapkir
2 citations
AI in Service Interactions
4.96
article

News Article Analysis Chatbot using Generative AI

Vaishali Baviskar, Tejas Sabale, Prasad Jachak, Chaitanya Tapkir
article en
2 citations

Abstract

The News Analysis Chatbot provides insightful analysis on current events through the generative AI, thus realizing real-time summaries, in-depth analyses of detailed data, and even the perspectives of most matters with all fairness to every aspect concerned. A new tool that ensures you are in the know about current happenings such that you acquire a comprehensive understanding of issues that might otherwise become quagmired. From the generative AI powered analysis of news articles, a changing and intelligent solution for the ability to analyze news content and summarize it. Due to the nature of the advanced NLP techniques used by the chatbot, it is capable of reading and understanding the articles, spotting the main ideas, extracting insights, producing and summarizing user preferences. This will enable users to extract coherent, up-to-the-minute summaries of either lengthy or complicated news articles within an extremely short amount of time. It allows the chatbot to move out of static response spaces by having an interactive discussion about the news, answering follow-up questions, providing context, and offering critical analysis. It can even compare articles within related topics, hint at trends, and even suggest additional readings to enrich the user’s understanding of events. Additionally, it learns the interest of the individual, suggesting articles based on previous interactions. We have introduced the News Research Tool, which is able to extract and process news articles via large language models (LLM). The software takes multiple news article URLs to analyze the news content and an open number of specific questions of the input articles. We deploy Streamlit to design an intuitively-operational user interface and to store the application. We utilize FAISS and a stream to tackle vector-based retrieval and Hugging Face embeddings to let search capture the most relevant context. Lastly, Streamlit Cloud hosts that we deploy our app so that it is accessible as a web application.

Openalex Percentile: Top 5%
AI in Service Interactions
4.96
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News Article Analysis Chatbot using Generative AI — Vaishali Baviskar, Tejas Sabale, et al. · (2025) | TGRS Research Map | TGRS