GenAI-Based News Article Analysis Chatbot
In today’s era of digital landscape, data analysis plays a vital role in informed decision making and strategy formulation. Research analysts, tasked with extracting insights from vast datasets, face challenges of information overload and time-consuming manual analysis. Conventional analysis systems limited in handling large data sets,, prone to human error and analysis is based on individuals analysis expertise. Our proposed paper introduces a revolutionary research analyst tool that integrates Generative AI and a Large Language Model(LLM) within a chatbot framework. Utilizing Generative AI enhances the chatbot’s communication capabilities, while LLM serves as the backbone for processing diverse linguistic structures in news articles. Our proposed architecture is detailed, outlining the methodology and efficiency of the implemented analyst tool. Utilizing language models for question-answering and a FAISS vector index for data retrieval, the tool enables seamless access to relevant information, empowering researchers, and analysis.
Authors
- Manoj Diwakar (ORCID: https://orcid.org/0000-0002-4435-675X)
- Prabhishek Singh (ORCID: https://orcid.org/0000-0002-9338-0932)
- Sumita Lamba (ORCID: https://orcid.org/0000-0002-2898-8650)
- Rahul Sharma (ORCID: https://orcid.org/0000-0001-6566-1553)
- Amit Kumar Mishra (ORCID: https://orcid.org/0000-0001-8079-5066)
- Akanksha Dubey
Institutions
- Bennett University (IN)
- D Y Patil International University (IN)
- Graphic Era University (IN)
- Dehradun Institute of Technology University (IN)
Publication Details
- Published
- 2024-11-22
- DOI
- https://doi.org/10.1109/aece62803.2024.10911100
- Primary Topic
- FinTech, Crowdfunding, Digital Finance
- Type
- article
- Field-Weighted Citation Impact
- 0.00